Title:  Technical Lead-Data Engg

Area(s) of responsibility

About Us:      Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. 

Job Summary
We are seeking a skilled Snowflake Developer with 8+ years of experience in designing, developing, and optimizing Snowflake data solutions. The ideal candidate will have strong expertise in Snowflake SQL, ETL/ELT pipelines, and cloud data integration. This role involves building scalable data warehouses, implementing efficient data models, and ensuring high-performance data processing in Snowflake.

Key Responsibilities

1. Snowflake Development & Optimization
•    Design and develop Snowflake databases, schemas, tables, and views following best practices.
•    Write complex SQL queries, stored procedures, and UDFs for data transformation.
•    Optimize query performance using clustering, partitioning, and materialized views.
•    Implement Snowflake features (Time Travel, Zero-Copy Cloning, Streams & Tasks).

2. Data Pipeline Development
•    Build and maintain ETL/ELT pipelines using Snowflake, Snowpark, Python, or Spark.
•    Integrate Snowflake with cloud storage (S3, Blob) and data ingestion tools (Snowpipe).
•    Develop CDC (Change Data Capture) and real-time data processing solutions.

3. Data Modeling & Warehousing
•    Design star schema, snowflake schema, and data vault models in Snowflake.
•    Implement data sharing, secure views, and dynamic data masking.
•    Ensure data quality, consistency, and governance across Snowflake environments.

4. Performance Tuning & Troubleshooting
•    Monitor and optimize Snowflake warehouse performance (scaling, caching, resource usage).
•    Troubleshoot data pipeline failures, latency issues, and query bottlenecks.
•    Work with DevOps teams to automate deployments and CI/CD pipelines.

5. Collaboration & Documentation
•    Work closely with data analysts, BI teams, and business stakeholders to deliver data solutions.
•    Document data flows, architecture, and technical specifications.
•    Mentor junior developers on Snowflake best practices.

Required Skills & Qualifications

•    8+ years in database development, data warehousing, or ETL.
•    4+ years of hands-on Snowflake development experience.
•    Strong SQL or Python skills for data processing.
•    Experience with Snowflake utilities (SnowSQL, Snowsight, Snowpark).
•    Knowledge of cloud platforms (AWS/Azure) and data integration tools (Coalesce, Airflow, DBT).
•    Certifications: SnowPro Core Certification (preferred).

Preferred Skills
•    Familiarity with data governance and metadata management.