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Emiza Supply Chain Services
Job description Role & responsibilities Key Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT processes. Integrate data from various internal and external sources (e.g., ERP, WMS, APIs). Optimize and monitor data flows for performance and reliability. Collaborate with data analysts, software developers, and business teams to understand data requirements. Ensure data quality, consistency, and security across the data lifecycle. Support reporting, dashboarding, and data science initiatives with clean and structured data. Maintain data documentation and metadata repositories. Preferred candidate profile Bachelor's or Masters degree in Computer Science, Engineering, or a related field. 2+ years of experience in a data engineering or similar role. Strong proficiency in SQL and working with relational databases (e.g., PostgreSQL, MySQL). Experience with big data technologies like Spark, Hadoop, or similar is a plus. Hands-on experience with ETL tools (e.g., Apache Airflow, Talend, DBT). Proficiency in Python or Scala for data processing. Familiarity with cloud platforms (AWS, GCP, or Azure), especially with data services like S3, Redshift, BigQuery, etc. Knowledge of APIs and data integration concepts. Role: Data Engineer Industry Type: Courier / Logistics Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: B.Tech/B.E. in Computers Key Skills Skills highlighted with ‘‘ are preferred keyskills Etl PipelinesData EngineeringHadoopCloud PlatformElt Data PipelineSparkAWSPythonSQL