Big Data Lead

2 days ago

Bengaluru Chennai Pune, India Hexaware Technologies Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title: Big Data Lead / ETL Developer

Interested : or share resume @

  • Design, build, and maintain ETL/ELT pipelines using IICS to ingest, transform, and load data into Snowflake.
  • Leverage Snowflake native data load services (Stages, Snowpipe, Streams, Tasks) to implement efficient ingestion patterns.
  • Optimize Snowflake storage and query performance using clustering, micro-partitioning, materialized views, and query tuning.
  • Develop advanced SQL solutions, analytical queries, stored procedures, and materialized views to support analytics and reporting.
  • Implement data security best practices and role-based access controls for sensitive datasets.
  • Monitor pipeline reliability and data quality; implement alerts, logging, and automated remediation where possible.
  • Collaborate with data analysts, data scientists, product owners, and other engineering teams to deliver production-ready datasets.
  • Maintain CI/CD and version control for ETL jobs, including deployment automation and runbooks.
  • Document data models, pipeline designs, SLAs, and operational procedures.

Must Have

  • Proficient in Snowflake with hands-on experience leveraging native data load services of Snowflake.
  • Exceptional expertise in SQL, advanced SQL, analytical functions, materialized views, and stored procedures.
  • Knowledge in Snowflake data loading features like Stages, Streams, Tasks, and Snowpipe.
  • Working knowledge on IICS with at least 3 years of experience.
  • Strong analytical skills.
  • Expertise in one of the major cloud platforms (AWS, Azure, or GCP) is a must.
  • Proven experience building and optimizing data pipelines, architectures, and datasets.

Nice to Have

  • Experience in Python for transformations, orchestration, or automation.
  • Knowledge of modern DevOps practices including Git, CI/CD, and Azure DevOps/VSTS.
  • Experience with business intelligence tools (Tableau, Power BI, Looker, etc.).
  • Familiarity with data testing/quality frameworks (Great Expectations, dbt tests, etc.).
  • Understanding of data lake patterns, Parquet/ORC formats, and cloud cost optimization.

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