We are seeking a
Data Engineer with 5+ years of hands-on experience
in
Spark
and
SparkSQL
,
strong SQL
expertise
, and
solid batch processing experience
.

The role involves building and optimizing data pipelines to support analytics and business needs, ensuring data reliability and performance, and collaborating effectively with cross-functional teams.

Must Have skills
– Spark, SparkSQL, at least 5+ years working experience with spark. Very Solid SQL, Batch Exp is a must have. Good Project Experience.

Python is a plus not a must have.

Participate in code reviews, design discussions, and agile delivery processes.

Required Skills & Experience:
- 5 years of hands-on experience with Apache Spark (especially Spark SQL and batch processing).




- Strong SQL expertise — ability to write efficient, optimized, and complex SQL queries for large datasets.
- Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes.
- Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning).
- Knowledge of data warehousing concepts and familiarity with relational databases.
- Experience working with structured and semi-structured data (CSV, Parquet, JSON, etc.).
- Strong problem-solving and debugging skills, particularly around pipeline performance and data quality.

📌 Data Engineer (Bengaluru)
🏢 Flexton
📍 Bengaluru