Job description YOUR TASKS AND RESPONSIBILITIES: Perform site feasibility, identify potential investigator, negotiate study budget with potential investigators, finalization of investigators, sites, and execution of CDA and study-related contracts Preparation and submission of study documents for EC permission for respective study across centers Oversee & document IP dispensing, inventory management & reconciliation Ensure timely site initiation, site monitoring, and site close-out activities are performed and respective reports are generated read more Key Skills CRONursingData managementGCPPharmacyClinical researchClinical Research AssociatePublic healthData entryRecruitment

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 ? 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 6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool Worked on Big Query and GCP technologies Strong SQL and Spark knowledge Excellent Data Analysis skills. Must be comfortable with querying and analyzing large amount of data on Hadoop HDFS using Hive and Spark Knowledge of Financial Accounting is a bonus Work independently with cross functional team and drive towards the resolution Experience with Object oriented programming using python and its design patterns Experience handling Unix systems, for optimal usage to host enterprise web applications GCP certifications preferred. Payments Industry Background good to have Candidate who has been part to google Cloud Migration is an ideal Fit Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-5 years of experience Intuitive 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 Preferred technical and professional experience 6+ years of industry work experience Experience extracting data from a variety of sources, and a desire to expand those skills Worked on Google Looker tool 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 pythondata analysissqlsparkhadoop hivesnowflakedata warehousingpower bigooglebusiness intelligencesql serverqlikviewtableaudata modelinggcpfinancial accountingbigqueryobject oriented programmingdata visualizationetlssisunix

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 Skill required: Data Management - PySpark Designation: Data Eng, Mgmt & Governance Specialist Qualifications:BE/BTech Years of Experience:7 to 11 years About AccentureCombining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIUnderstand Pyspark interface and integration in handling complexities of multiprocessing, such as distributing the data, distributing code and collecting output from the workers on a cluster of machines. What are we looking for PySpark AWS Architecture Adaptable and flexible Strong analytical skills Prioritization of workload Ability to manage multiple stakeholders Agility for quick learning Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification BE,BTech Role: Data Science & Analytics - Other Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: B.Tech/B.E. in Production/Industrial PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills pythondata managementpysparksqltableau hivedata analysisdata analyticsoracledata warehousingpower bimachine learningbusiness intelligencesql serverrunix shell scriptingdata sciencedata modelingdata visualizationetlunix

Job description Assists clients in the selection, implementation, and support of the SAP MDG Participate in SAP MDG implementations and develop master data maintenance solutions using the latest technology and tools Design and lead the overall strategic and tactical data migration initiatives, data cleansing initiatives and data profiling initiatives as well as data warehouse design, modeling and implementation for our customers. Experience in implementation planning, fit analysis, configuration, testing, rollout and post-implementation support. Good knowledge and experience within the Data Management Tools and a thorough understanding of SAP integration points Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 12 years of Industry experience Technical Knowledge and Experience in working with SAP Data Management Tools like Data Services, Cockpit, MDG, HANA EIM. Hands on MDG configuration experience, configuration related to customer and core STE processes Experience in IM Architecture, Data Migrations, Data Profiling and Data quality. Implementation experience of MDG in key domains such as Finance, Customer, Supplier, Material & Business Partners Experience in implementation, development or configuration on one or more of the following solutions from Data Management Suite-SAP Data Services / SAP MDG / Migration Cockpit / HANA EIM SDI. Experience to write scripts and complex SQL statements Preferred technical and professional experience Experience in Data Migration methodologies, specifically around legacy to SAP migration using solutions like Data Services will be nice to have. Implementation experience and knowledge in at least two of these areas would be an added advantage Master Data Management Role: Webmaster 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 sapmaster data managementmdgsap integrationsap mdg master datadata servicesdata managementimeimsap supportdata migrationsqldata cleansingdata qualitysap data servicesdata governancedb migrationsap hanadata profilingcockpit

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