Data Engineer - Hadoop Big data Stack

Capgemini Holding Inc•Atlanta, GA

31d•$85,000 - $96,900

About The Position

We are seeking a highly skilled and motivated Data Engineer with strong hands-on experience in the Hadoop Big Data ecosystem. The ideal candidate will have deep expertise in big data technologies and frameworks, and a passion for building scalable data solutions that drive business insights.

Requirements

Strong hands-on experience as a Hadoop Developer or Big Data Engineer.
Advanced knowledge of the Hadoop ecosystem and its components.
In-depth expertise in Scala, Spark, and similar frameworks.
Proficient in HBase, SOLR, Hive, Gremlin, and Pig.
Experience with data modeling, performance tuning, and distributed computing.

Nice To Haves

Experience with Spark Streaming, Flume, or Apache NiFi.
Exposure to Azure Data Engineering stack, including:
Azure Synapse Analytics
Azure Data Factory (ADF)
Azure Databricks

Responsibilities

Design, develop, and maintain scalable data pipelines using Hadoop and related technologies.
Work with large-scale datasets using tools such as Spark, Scala, Hive, Pig, and HBase.
Implement and optimize data workflows and ETL processes.
Collaborate with data scientists, analysts, and other engineering teams to support data needs.
Ensure data quality, integrity, and governance across platforms.
Troubleshoot and resolve issues related to data processing and performance.

Benefits

Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief