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
- Robust 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
- Good communication and stakeholder management
- High ownership and accountability
📌 Senior Data Engineer- Snowflake (India)
🏢 SquareShift Technologies
📍 India
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