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Senior Data Engineer - Snowflake

Tredence Inc.pune, maharashtra, in

21 days ago

Job description

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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Senior Data Engineer • pune, maharashtra, in

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