Senior Data Engineer - Apache Spark (12-16 yrs)

What Youll Be Doing :

- Design and build scalable data pipeline architecture for data extraction, transformation, and loading (ETL) using modern Big Data technologies.

- Improve internal processes by automating manual tasks, optimizing data delivery, and redesigning systems for scalability.

- Collaborate with cross-functional teams (Product, Data, Design, Executive) to resolve data-related technical challenges.

- Work alongside analytics and machine learning teams to enhance data system functionality, accuracy, and innovation.

Qualifications :

- Bachelors degree in Engineering, Computer Science, or related field.

- 10+ years of recent experience as a Data Engineer.

- 5+ years of hands-on experience with Apache Spark.

- Strong proficiency in Scala (mandatory), with additional skills in Python, Java, or similar languages.

- Solid understanding of Big Data principles and distributed systems.

- Advanced SQL skills and experience with relational databases like PostgreSQL or MySQL.

- Cloud experience with Databricks.

- Familiarity with multiple data formats including Delta Tables, Parquet, CSV, and JSON.