Senior Technical Lead

4 days ago

Delhi, Delhi, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Engineer - Snowflake & SQL

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Description:

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  • Design and implement scalable data warehouse solutions using Snowflake as the core platform.
  • Understand the difference between Snowflake and traditional data warehouse systems.
  • Develop and optimize complex SQL queries for analytical workloads, reporting, and data transformation.
  • Build and maintain ELT/ETL pipelines using Snowflake-native features and external orchestration tools.
  • Apply dimensional modeling techniques (star/snowflake schemas) to support BI and analytics use cases.
  • Perform query profiling, performance tuning, and cost optimization in Snowflake.
  • Implement and manage Snowflake objects including tables, views, materialized views, streams, tasks, UDFs, and stored procedures.
  • Ensure data quality, lineage, and governance across the data lifecycle.
  • Collaborate with cross-functional teams to understand data requirements and translate them into efficient data models and pipelines.
  • Troubleshoot and resolve issues related to data ingestion, transformation, and query performance.
  • Stay current with Snowflake features such as Time Travel, Zero Copy Cloning, Search Optimization, and Streams/Tasks.
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Required Skills and Qualifications:

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  • Advanced SQL: Joins, window functions, CTEs, recursive queries, analytical functions
  • Snowflake SQL and Architecture: Virtual warehouses, micro-partitions, clustering, caching, scaling, max concurrency
  • Data Modeling: Star/Snowflake schemas, normalization/denormalization strategies
  • Performance Tuning: Query optimization, warehouse sizing, result caching
  • ETL/ELT Development: Using Snowflake-native features using stages and orchestration tools (ADF, Airflow, etc.)
  • Stored Procedures and Functions: SQL and JavaScript-based scripting in Snowflake and exception handling
  • Azure Data Factory (ADF): Pipelines, triggers, ADLS Gen2, IR, Linked Services
  • Python or PySpark: For data transformation and automation
  • Snowpipe and Streams/Tasks: For real-time and CDC-based ingestion
  • Data Security: Row-level security, masking policies, encryption hierarchy
  • DevOps Tools: Git, CI/CD, Terraform (basic understanding)
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Benefits:

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  • Strong analytical and problem-solving skills
  • Excellent communication and documentation abilities
  • Experience working in Agile/Scrum environments
  • Ability to lead and mentor junior team members
  • Comfortable working in fast-paced, multi-project environments
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Others:

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  • BTech or BE (any specialization)
  • SnowPro Core Certification is a plus
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Keyword: DataEngineer

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