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Roles & Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python, SQL, and Apache Airflow. Optimize Starburst Trino queries, build Airflow DAGs, and ensure data quality and pipeline performance.
Must-Have Skills: Python, Databricks, SQL (Advanced), Apache Airflow, Starburst Trino.: PySpark, Azure DevOps CI/CD, Kafka, Flink, Spark Streaming, Data Modelling, BFSI Domain.
Job Title: Data Engineer Location: Mumbai Experience: 1 - 3 Years Employment Type: Full-time Position Overview: We are looking for a highly skilled and hands-on Senior Data Engineer to join our growing data engineering…
We are seeking a skilled Data Engineer to join our dynamic team in Maharashtra. The ideal candidate will have a strong background in data engineering and a passion for working with data streaming technologies. As a…
We are seeking a skilled Data Engineer to join our dynamic team in Maharashtra. The ideal candidate will have a strong background in data engineering, with expertise in Azure Data Factory, Data Bricks, PySpark, and…
Data engineer with 3-5 years of experience building and optimizing data pipelines. Day-to-day work centers on SQL, PySpark, Hive, Apache Airflow, and the Hadoop ecosystem for ETL/ELT, data extraction and validation, query optimization, and workflow automation. Based in the Thane/Mumbai area.
Overview: We are seeking a highly skilled and experienced candidate in EDW Operations team for sustenance at Unity Small Finance Bank. Responsibilities: Requirement Gathering: Elicit and document business requirements…
We are looking for an experienced ETL / Data Engineer with strong hands-on expertise in Informatica, Hadoop, Apache Spark, and Snowflake. The candidate will be responsible for designing, developing, and maintaining…
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