Manager – Business Development From 3 to 8 year(s) of experience ? 3-8 Lacs P.A. Ahmedabad Login to Apply Apply without Registration Posted: TodayOpenings: 3Job Applicants: Less than 10Job Views: 43 Job Description Role & Responsibilities :- Evaluate various States and districts based on identified parameters for shortlisting. Keeping track of upcoming opportunities and threats. Responsible for bid Response Preparation and submission in coordination with other teams. Attending pre-bid and client/customer meetings, ensure timely bid submission and coordinate with the procurer till the conclusion of the process. Coordination with internal teams including corporate affairs team. Carry out Competitor Analysis, new project risk-return analysis. Support in developing Business model for Green Electrons for Large multinationals with 100% RE requirement for various states. Support in identification of Large Industrial and Commercial Customers in each District. Principal Accountabilities. Support in strengthening relationships with identified key players at Central as well as state Levels (Govt., SERCs, Discoms, SLDCs/RLDC, customers, etc). Support in creating and pursuing new/upcoming opportunities in the market. Prepare Business case and marketing material; evaluation, analysis and due diligence of opportunity and prepare presentations for management briefing. Prepare financial modelling for the bid/business case. Prepare and update MIS on market information, status of internal assignments and other BD related checklist. Key Skills Open AccessBusiness Development Skills highlighted with ‘‘ are preferred keyskills Education UG:Any Graduate PG:Any Postgraduate Company Profile Adani Energy Solutions Ltd Adani Energy Solutions Ltd (AESL) is a major player in Indias energy sector, focusing on power transmission, distribution, and smart metering. As part of the Adani Group, the company has grown rapidly and plays a key role in modernizing the countrys energy infrastructure. AESL has been expanding its footprint through new projects and technological advancements, especially in smart metering and digital energy solutions. With a strong presence across India, the company is committed to supporting the nation’s transition to a more efficient and reliable power system Company Info View Contact Details + Salary: 3-8 Lacs P.A. Industry: Power Department: Sales & Business Development Role Category: Enterprise & B2B Sales Role: Enterprise & B2B Sales - Other Employment Type: Full Time, Permanent

Job description As a BigData Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Big Data Developer, Hadoop, Hive, Spark, PySpark, Strong SQL. Ability to incorporate a variety of statistical and machine learning techniques. Basic understanding of Cloud (AWS,Azure, etc). Ability to use programming languages like Java, Python, Scala, etc., to build pipelines to extract and transform data from a repository to a data consumer Ability to use Extract, Transform, and Load (ETL) tools and/or data integration, or federation tools to prepare and transform data as needed. Ability to use leading edge tools such as Linux, SQL, Python, Spark, Hadoop and Java Preferred technical and professional experience Basic understanding or experience with predictive/prescriptive modeling skills You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills scalasqlsparkhadooppython hivedata managementpysparkdata warehousingapache pigplsqljavaunix shell scriptinglinuxbig dataetlhbasedata analysisoraclemicrosoft azuremachine learningdata engineeringawsdata integrationinformatica

Job description NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life s work , to amplify human creativity and intelligence. As an NVIDIAN, you ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification, and post-silicon validation on some of the industrys most complex semiconductor chips. What youll be doing: As an integral member in our team, you will work on exploring Applied AI solutions for DFX and VLSI problem statements. Architect end-to-end generative AI solutions with a focus on LLMs, RAGs Agentic AI workflows. Work on deploying predictive ML models for efficient Silicon Lifecycle Management of NVIDIAs chips. Collaborate closely with various VLSI DFX teams to understand their language-related engineering challenges and design tailored solutions. Partner closely with cross-functional AI teams to provide feedback and contribute to the evolution of generative AI technologies. Work closely with DFX teams to integrate Agentic AI workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies. Define how data will be collected, stored, consumed and managed for next-generation AI use cases. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE or MSEE from reputed institutions with 2+ years of experience in DFT, VLSI Applied Machine Learning Experience in Applied ML solutions for chip design problems Significant experience in deploying generative AI solutions for engineering use cases Good understanding of fundamental DFT VLSI concepts - ATPG, scan, RTL clocks design, STA, place-n-route and power Experience in application of AI for EDA-related problem-solving is a plus Excellent knowledge in using statistical tools for data analysis insights Strong programming and scripting skills in Perl, Python, C++ or TCL desired Strong organization and time management skills to work in a fast-pace multi-task environment Self-motivated, independent, ability to work independently with minimal day-to-day direction Outstanding written and oral communication skills with the curiosity to work on rare challenges NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If youre a creative and autonomous engineer with real passion for technology, we want to hear from you! #LI-Hybrid Role: Data Science & Analytics - Other Industry Type: Electronic Components / Semiconductors Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate PG: Any Postgraduate Key Skills C++Data analysisSemiconductorDFTVLSIChip designMachine learningPerlGamingPython

Job description ? Identify gaps and weaknesses on current alerting platforms and recommend improvements to ensure evolving capabilities. Identify gaps and weaknesses on Data Loss Prevention platforms. Continually review existing risk scoring models and adjust accordingly to ensure proper focus on significant security events and business needs. Administrate of DLP solution and liaising with GRC & CISO function to configure policies and work on reporting, monitor and respond to different alerts generated from the DLP solution. Demonstrate a good understanding of incident response process and event escalations, repone to DLPs escalations reported by incident response team. Share recommendations to further identify sensitive data and strengthen security controls. Collaborate & partner with legal, compliance team to support customer privacy initiative and continue compliance with different regulations, to mature company data life cycle management with focus on data security. Ability to independently research and solve technical issues and Demonstrated integrity in a professional environment. Role: Manager Information Security Industry Type: IT Services & Consulting Department: IT & Information Security Employment Type: Full Time, Permanent Role Category: IT Security Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills security operationssocinformation securitysiemincident response cyber securitynetwork securityarcsightipvulnerability assessmentmalware analysisqradarfirewallincident managementthreat huntingsplunkidslog analysis

Job description Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills) Role: Data Platform Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sqlgcpbigquerycloud sqlpython hivegenjavapostgresqlsparklinuxmysqlhadoopbig datapubsubairflowapplication enginemachine learningsql serverdataproccloud storagebigtableagilesqoopawsdata flow

Job description Ingest new data from relational and non-relational source database systems into our warehouse. Connect data from various sources. Integrate data from external sources to warehouse by building facts and dimensions based on the EPM data model requirements. Automate data exchange and processing through serverless data pipelines. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in data analysis and integration. Experience in data building and consuming fact and dimension tables. Experience in automating data integration through data pipelines. Experience with object-oriented programing languages such as Python. Experience with structured data processing languages such as SQL and Spark SQL. Experience with REST APIs and JSON Experience in IBM Cloud data processing services such as IBM Code Engine, IBM Event Streams (Apache Kafka). Strong understanding of Datawarehouse concepts and various data warehouse architectures Preferred technical and professional experience Experience with IBM Cloud architecture Experience with DevOps. Knowledge of Agile development methodologies Experience with building containerized applications and running them in serverless environments on the Cloud such as IBM Code Engine, Kubernetes, or Satellite. Experience with IBM Cognitive Enterprise Data Platform and CodeHub. Experience with data integration tools such as IBM DataStage or Informatica Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythondata warehousingsqlsparkdata warehousing concepts hivekubernetesrestdata analysisibm clouddatastagedata processingdata engineeringapachecloud architecturecognitivedevopsibm datastagekafkajsonagilehadoopinformatica

Job description Establish and implement best practices for DBT workflows , ensuring efficiency, reliability, and maintainability. Collaborate with data analysts, engineers, and business teams to align data transformations with business needs. Monitor and troubleshoot data pipelines to ensure accuracy and performance. Work with Azure-based cloud technologies to support data storage, transformation, and processing Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong MS SQL, Azure Databricks experience Implement and manage data models in DBT, data transformation and alignment with business requirements. Ingest raw, unstructured data into structured datasets to cloud object store. Utilize DBT to convert raw, unstructured data into structured datasets, enabling efficient analysis and reporting. Write and optimize SQL queries within DBT to enhance data transformation processes and improve overall performance Preferred technical and professional experience Establish best DBT processes to improve performance, scalability, and reliability. Design, develop, and maintain scalable data models and transformations using DBT in conjunction with Databricks Proven interpersonal skills while contributing to team effort by accomplishing related results as required Role: Data Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills azure databrickssql queriessql serversqlssis microsoft power bipythonazure data lakessasmicrosoft azurepower bidata warehousingpysparkazure data factoryt-sqlazure logic appsazure functionssql azuresparkssrsazure cosmosdbetlmsbi

Job description Internal Audit s mission is to independently assess the firm s internal control structure, including the firm s governance processes and controls, risk management, capital and anti-financial crime framework. In addition, it is also to raise awareness of control risk and monitor the implementation of management s control measures. In doing so, internal Audit: Communicates and reports on the effectiveness of the firm s governance, risk management and controls that mitigate current and evolving risk Raise awareness of control risk Assesses the firm s control culture and conduct risks; and Monitors management s implementation of control measures Goldman Sachs Internal Audit is organized into global teams comprising of business and technology auditors that cover all the firm s businesses and functions - securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering Who We Look For Goldman Sachs Internal Audit comprises individuals from diverse backgrounds including chartered accountants, developers, risk management professionals, cybersecurity professionals, and data scientists. We are organized into global teams comprising business and technology auditors to cover all the firm s businesses and functions, including securities, investment banking, consumer and investment management, risk management, finance, cyber-security and technology risk, and engineering. Embedded Data Analytics: In Internal Audit, we ensure that Goldman Sachs maintains effective controls by assessing the reliability of financial reports, monitoring the firm s compliance with laws and regulations, and advising management on developing smart control solutions. Embed Data Analytics team leverages its programming and analytical capabilities to build innovative data driven solutions. The team works closely with auditors to understand their pain points and develop data-centric solutions to address the same Your Impact : As part of the third line of defense, you will be involved in independently assessing the firm s overall control environment and its effectiveness as it relates to current and emerging risks and communicating the results to local/ global management. In doing so, you will be supporting the provision of independent, objective and timely assurance around the firm s internal control structure, thereby supporting the Audit Committee, Board of Directors and Risk Committee in fulfilling their oversight responsibilities. We are looking for a strong data scientist, passionate about using data to challenge the norm, to join our Embed Data Analytics team. The candidate will work closely with the audit teams to build innovative and reusable analytical tools that will help make audit testing more efficient and provide meaningful insights into firm s control environment Responsibilities Execute on DA strategy developed by IA management within the context of audit responsibilities, such as risk assessment, audit planning, creation of reusable tools and providing innovative solutions to complex problems Partner with audit teams to help identify risks associated with businesses and facilitate strategic data sourcing and develop innovative solutions to increase efficiency and effectiveness of audit testing Build production ready analytical tools to automate repeatable and reusable processes within IA Build and manage relationships and communications with Audit team members Basic Qualifications 3+ years of experience with a minimum of bachelors in Computer Science, Math, or Statistics Experience with RDBMS/ SQL Proficiency in programming languages, such as Python, Java, or C++ Knowledge of basic statistics, including descriptive statistics, data distribution models, Time Series Analysis, correlation, and regression, and its application to data Strong team player with excellent communication skills (written and oral). Ability to communicate what is relevant and important in a clear and concise manner and ability to handle multiple tasks Strong contributing member o

Job description Some careers shine brighter than others. If you re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Associate Director. In this role, you will: Responsible for developing Solution Architecture for Complex Data warehouse ETL applications both on-prem and cloud preferably GCP. Present and get necessary approvals from various Governance Forums (Design Authorities/Architecture Boards) Previous experience of business and solutions analysis, hands on experience of project initiation is essential preferably with exposure at a global level. Previous experience of leading a high performing team across multiple locations is essential. Previous experience of working on Data related initiatives would be highly desirable Requirements To be successful in this role, you should meet the following requirements: At least 15 years experience in IT and Knowledge of Data Warehouse technologies ETL Technologies Banking specific Data models like IBM Banking Data Warehouse Model Data modelling and Data Architecture concepts Cloud technologies and architecture including but not limited to Spark, Data Bricks Infrastructure Design and concepts proven solution architecture experience of 5 years or more This individual can design robust, secure, scalable, highly available, and dynamic solutions to drive business objectives using both on-prem and google cloud platform (GCP). Working with stakeholders like Solution Architecture Board, Design Authorities to get approval related to artefacts like Solution Design Document Carrying out deployment, maintenance, monitoring, and management tasks within this implemented cloud structure. Integration of new application requirements into the cloud environment. Provide guidance to developers who are part of project. Keeping on top of usage of space in the cloud and making sure the cloud infrastructure is operating at full efficiency. Working with business owners to understand their needs and to implement the cloud strategies designed to meet those needs. Conducting migration, where necessary, to bring tools and other elements into the cloud. You ll achieve more when you join HSBC. . Role: Business Intelligence & Analytics - Other Industry Type: Consumer Electronics & Appliances Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate PG: Any Postgraduate Key Skills Solution architectureUsageGCPProject initiationCloudData warehousingAnalyticsMonitoringFinancial servicesData architecture

Job description You have the opportunity to unleash your full potential at a world-renowned company and take the lead in shaping the future of technology. As a Senior Manager of Data Engineering at JPMorgan Chase within the CCB, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as we'll as anticipate the needs and potential dependencies of other data users within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. Job responsibilities Architect and oversee the design of complex data solutions that meet diverse business needs and customer requirements. Guide the evolution of logical and physical data models to support emerging business use cases and technological advancements. Build and manage end-to-end cloud-native data pipelines in AWS, leveraging your hands-on expertise with AWS components. Build analytical systems from the ground up, providing architectural direction, translating business issues into specific requirements, and identifying appropriate data to support solutions. Work across the Service Delivery Lifecycle on engineering major/minor enhancements and ongoing maintenance of existing applications. Help others build code to extract raw data, coach the team on techniques to validate its quality, and apply your deep data knowledge to ensure the correct data is ingested across the pipeline. Guide the development of data tools used to transform, manage, and access data, and advise the team on writing and validating code to test the storage and availability of data platforms for resilience. Oversee the implementation of performance monitoring protocols across data pipelines, coaching the team on building visualizations and aggregations to monitor pipeline health. Coach others on implementing solutions and self-healing processes that minimize points of failure across multiple product features. Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Extensive experience in managing the full lifecycle of data, from collection and storage to analysis and reporting. Proficiency in one or more large-scale data processing distributions such as JavaSpark along with knowledge on Data Pipeline (DPL), Data Modeling, Data warehouse, Data Migration and so-on. Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more modern programming languages Should have good hands-on experience with AWS services and its components along with good understanding on Kubernetes. Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Strong understanding of domain driven design, micro-services patterns, and architecture Overall knowledge of the Software Development Life Cycle along with experience with IBM MQ, Apache Kafka Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (eg, cloud, LLMs etc) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Experience designing and building REST API services using Java Exposure to cloud technologies - knowledge on Hybrid cloud architectures is highly desirable. Role: Data Engineer Industry Type: Financial Services Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Data migrationFront endData modelingCodingAnalyticalDebuggingAgileSystem designApplication developmentApache