Senior Data Engineer - Spark/Hadoop (5-8 yrs)

Role : Senior Data Engineer

Exp : 5-8yrs

Required Skills : SQL queries,ETL tools and frameworks,Big data technologies,Cloud platforms (AWS, Azure, GCP),Data warehousing

Your Mission, Should You Choose to Apply :

- Data Architecture : Design, implement, and optimize scalable and efficient data architectures and pipelines to support various data use cases.

- Data Pipeline Development : Create and maintain data pipelines that ingest, transform, and store data from various sources (e.g., databases, APIs, logs, and external data feeds).

- Data Modeling : Develop and maintain data models, ensuring they are optimized for analytical and reporting needs. Use techniques such as dimensional modeling and data normalization.

- Data Governance : Implement and enforce data governance practices to ensure data accuracy, consistency, and security.

- Mentorship : Provide guidance and mentorship to junior data engineers and team members.

You'll Be a Great Fit If You :

- Writing complex SQL queries

- Strong knowledge of ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica).

- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is preferred.

- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.

- Minimum of 5 years of experience in data engineering or a similar role, with a proven track record of building and managing complex data systems.

- Experience with data warehousing tools like Snowflake , Databricks