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Bengaluru

    Senior Data Engineer - Bengaluru, India - HME

    HME
    HME Bengaluru, India

    2 days ago

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    Description

    Job Summary:

    • Designing and implementing end-to-end ETL processes using Azure Data Factory to extract data from multiple sources, transform it to meet business requirements, and load it into a data warehouse.
    • Collaborating with cross-functional teams to understand data requirements, business rules, and data quality standards to ensure accurate and consistent data delivery.
    • Building and maintaining scalable and efficient ETL pipelines that handle large volumes of data while adhering to best practices for data integration and data governance.
    • Developing and implementing data validation and reconciliation processes to ensure data accuracy and consistency across all data sets.
    • Troubleshooting and resolving issues related to data transformation, data loading, and data quality, while proactively identifying opportunities for process optimization and performance tuning.
    • Collaborating with data architects, data scientists, and other stakeholders to understand data models and data requirements to support data exploration, analytics, and reporting initiatives.
    • Documenting and maintaining technical specifications, data pipeline documentation, and data lineage to ensure data governance and regulatory compliance.
    • Staying up-to-date with the latest industry trends and technologies related to Azure Data Factory and ETL to continuously improve data engineering practices and solutions.

    Knowledge / Skills / Abilities:

    • Education: Bachelor's Degree in an Information Technology related field.
    • Overall Experience: 7+ years
    • Experience: 5+ years in Data Architecture with experience in designing and implementing end-to-end ETL process
    • Strong expertise in SQL and experience with data integration, data transformation, and data loading techniques using ETL tools and frameworks.
    • Hands-on experience with cloud platforms, preferably Microsoft Azure, including familiarity with Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Databricks.
    • Proficiency in programming languages such as Python, R, Powershell, for data processing, data manipulation, and data transformation.
    • Knowledge of data modeling concepts and experience with data modeling tools is a plus.
    • Excellent problem-solving skills, with the ability to analyze complex data scenarios and design efficient and scalable solutions.
    • Strong communication and collaborative skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to both technical and non-technical stakeholders.
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