Data Engineer - Spark/Azure Databricks

Job Title : Data Engineer – AWS + Databricks + Spark Streaming

Location : Bangalore (Onsite – 5 days/week)

Experience : 2 to 5 years

Job Description :

We are hiring for leading clients offering best-in-class salary packages. As a Data Engineer, you will work on cutting-edge data solutions using AWS, Databricks, and Spark Streaming to drive innovation and efficiency.

Key Responsibilities :

– Design and maintain scalable data pipelines using AWS Glue, EMR, Databricks, and Spark.

– Implement ETL workflows and real-time streaming solutions (Spark Streaming, Kinesis, Firehose).

– Work with Python, PySpark, and SQL to improve data performance and automation.

– Ensure data governance, security, and scalability across all AWS platforms.

– Collaborate with cross-functional teams to deliver high-quality data solutions for analytics and machine learning.

Required Skills & Qualifications :

– 2 – 5 years of hands-on experience as a Data Engineer.

– Strong expertise in AWS services (Glue, EMR, Lambda, S3, EC2/EKS).

– Proficiency in Python, PySpark, and SQL.

– Experience with Spark Streaming, Databricks, and real-time data solutions.

– Solid understanding of ETL, data modeling, and Big Data ecosystems (Hadoop, Hive, HDFS).

Why Join Us?

– Work with industry-leading clients offering competitive salary packages.

– Be part of innovative projects in data engineering and cloud technology.

– Elevate your career with cutting-edge tools and advanced data platforms.