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    Senior Azure Data Engineer - Anywhere in India/Multiple Locations/Bangalore - Marktine Technology Solutions

    Marktine Technology Solutions
    Marktine Technology Solutions Anywhere in India/Multiple Locations/Bangalore

    1 day ago

    Default job background
    permanent Technology / Internet
    Description

    Position :
    Azure Data Engineer.

    Experience : 6+ years.

    Location Remote.


    Skills:
    Snowflake, ADF, python and ETL, spark, scala, SQL.

    • An offshore Data Engineer to work with the Investment Analytics team.
    • This person needs to have a strong exp of Data warehousing and ETL leveraging Snowflake, ADF and Python.
    • A strong candidate to work with the Data Science team.
    • Collaborate with all the teams to drive discovery and requirements gathering for data management and business analytics efforts.
    • Automate ETL for data feeds many sources, and maintain databases.
    • Automate data validation of data feeds from many sources, to enhance data accuracy.
    • Design and optimize processes for data intake, validation, mining, and engineering.
    • Work on a Scrum team to deliver on projects and initiatives that impact business development, client support, business management, investment management, and all functional areas of the firm.
    • Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala.
    • This includes data ingestion, data transformation, and data loading processes.
    • Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis.
    • This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.
    • Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets.
    • This includes scheduling and monitoring data pipelines.
    • Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.
    • Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time.
    • This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.
    • Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation.
    • You will work closely with crossfunctional teams to resolve datarelated problems.
    )
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