We are looking for an experienced Data Engineer to build, optimize, and manage scalable data pipelines and architectures. The ideal candidate will have strong expertise in modern data platforms, with hands-on experience in Snowflake and cloud-based data solutions.
Key Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT processes
Develop and optimize data models and data warehouse solutions
Work extensively with Snowflake for data storage, transformation, and performance tuning
Collaborate with BI, analytics, and product teams to deliver clean and reliable datasets
Ensure data quality, integrity, and governance across systems
Optimize query performance and cost efficiency in Snowflake
Integrate data from multiple sources (APIs, databases, third-party systems)
Implement data security and access controls Requirements
Required Skills & Qualifications
7+ years of experience in Data Engineering or related roles
Strong expertise in Snowflake (data modeling, performance tuning, optimization)
Advanced SQL skills and experience with large-scale data processing
Hands-on experience with ETL/ELT tools (e.g., Airflow, Informatica, dbt, or similar)
Experience with cloud platforms such as AWS / Azure / GCP
Strong understanding of data warehousing concepts (star schema, snowflake schema, etc.)
Experience with Python or Scala for data processing
Knowledge of data pipeline orchestration and scheduling Benefits
Preferred Skills
Experience with big data technologies (Spark, Hadoop)
Familiarity with streaming tools (Kafka, Kinesis)
Experience with CI/CD pipelines and DevOps practices
Exposure to data governance and data security best practices
Key Competencies
Strong problem-solving and analytical skills
Ability to work with cross-functional teams
Valuable communication and stakeholder management
High ownership and accountability
📌 Senior Data Engineer- Snowflake (Chennai)
🏢 SquareShift Technologies
📍 Chennai
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