Role Overview


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 up-to-date 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