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Wissen Logo Wissen · IT - Software Development

Senior Data Engineer - Snowflake

India, Bangalore South · Job Posted April 20, 2026
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Job Description

We are looking for an experienced Data Engineer to join our data platform team to support the migration of a legacy Data Lake architecture to a modern Lakehouse architecture. The role involves designing and building scalable data pipelines using Apache Spark, Refiner frameworks, and other AWS cloud-native data engineering tools, while integrating with Snowflake for advanced analytics and data warehousing. The ideal candidate will have strong experience in distributed data processing, cloud data platforms, and large-scale data migration projects.

Job Responsibility

  • Design and implement data pipelines to migrate data from existing Data Lake to Lakehouse architecture
  • Develop and optimize Spark-based ETL/ELT pipelines using Spark Refiner or similar transformation frameworks
  • Build scalable data processing workflows using AWS services such as S3, Glue, EMR, Lambda, and Step Functions
  • Integrate and manage data ingestion into Snowflake for analytics and downstream consumption
  • Perform data modelling for Lakehouse architecture (Bronze, Silver, Gold layers)
  • Ensure data quality, governance, and lineage across the migration process
  • Optimize performance of Spark jobs and Snowflake queries for large-scale datasets
  • Work closely with data architects, analytics teams, and business stakeholders to ensure reliable data delivery
  • Implement CI/CD pipelines for data engineering workflows
  • Support data validation, reconciliation, and testing during migration

Requirements

  • Strong experience with Apache Spark (PySpark / Scala)
  • Experience with Spark Refiner or similar transformation frameworks
  • Hands-on expertise with AWS Data Ecosystem, including: S3, Glue, EMR, Lambda, Step Functions, IAM
  • Experience building large-scale ETL/ELT pipelines
  • Strong knowledge of Snowflake, including: Snowpipe, Data loading, Performance optimization
  • Excellent SQL and data modelling skills
  • Understanding of Data Lake, Lakehouse architectures, and modern data storage formats
  • Knowledge of data migration strategies and validation techniques

Nice to have

  • Experience with Delta Lake, Iceberg, or Hudi
  • Familiarity with Airflow or other workflow orchestration tools
  • Knowledge of DevOps practices and CI/CD tools
  • Experience with data governance and catalog tooling
  • Exposure to streaming platforms such as Kafka or Kinesis
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