Senior Data Engineer
2 weeks ago
Required Work Experience- 7 - 12 Years- Total: 6+ years in Data Engineering, Data Warehousing, and SQL- Snowflake: 3+ years hands-on experiencePrimary 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 handlingSecondary 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 environmentsEducation & Certifications:- Bachelor’s or Master’s in Computer Science, Engineering, or related field- SnowPro Core Certification is a plus
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