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Mid-level data engineer in Bangalore with common cloud and Spark skills creates high applicant competition.
Transferable data engineering skills but banking domain needs make background fit moderately sensitive.
Explicit 5+ years and Azure Databricks/PySpark/ETL requirements make filters strict.
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Design, develop, maintain, and test data warehouse and data lake applications ensuring quality and timely delivery.
Create and maintain optimal data pipelines, ensuring data accuracy and integrity through unit testing and debugging.
Implement process improvements including automation and scalability for both on-premises and cloud infrastructures, focusing on Azure technologies.
Minimum 5 years of development experience in enterprise-grade data engineering pipelines using relational databases, Azure Databricks with Pyspark, Python, Apache Spark, ETL.
Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.
Must be located in Bangalore (location-specific requirement).
Work Experience Required: Minimum 5+ years in relevant data engineering development.
Experienced in Azure ecosystem including Azure Databricks, Azure Synapse, Azure Data Factory, and related cloud data technologies.
Skilled in designing high-level technical artifacts and presenting technical concepts to senior business stakeholders.
Familiar with distributed data processing (structured and unstructured) and Agile software development methodologies, preferably with global team experience.