Senior Data Engineer

4 days ago

Pune Maharashtra India, Maharashtra Tredence Inc. Full time

Required Work Experience

  • 7 - 12 Years
  • Total: 6+ years in Data Engineering, Data Warehousing, and SQL
  • Snowflake: 3+ years hands-on experience


Primary Responsibilities:

  • Design and implement scalable Data Warehouse solutions using Snowflake as the core platform.
  • Understand the difference between Snowflake and traditional data warehouse system
  • 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.


Primary Technical Skills (Must-Have):

  • Advanced SQL – joins, window functions, CTEs, recursive queries, analytical functions
  • Snowflake SQL & Architecture – virtual warehouses, micro-partitions, clustering, caching, caling, 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 & Functions – SQL and JavaScript-based scripting in Snowflake and exception handling


Secondary Technical Skills (Good or Nice to Have):

  • Azure Data Factory (ADF) – pipelines, triggers, ADLS Gen2, IR, Linked Services
  • Python or PySpark – for data transformation and automation
  • Snowpipe & 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)


Soft Skills & Methodologies:

  • 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


Education & Certifications:

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field
  • SnowPro Core Certification is a plus

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