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Big Data Engineer - Hadoop/Spark

VAMRITECH
7 - 10 Years
Bangalore

Posted on: 06/05/2026

Job Description

Job title : Big Data Engineer


Location : Bangalore


Role Type : Full time


Shift : UK Shift (1:00 10:00 PM)


Experience : 7-10 years


Key Responsibilities :


- Design, develop, and maintain scalable data processing pipelines using Hadoop and Spark.


- Implement data integration and ETL processes to ingest and transform large datasets.


- Collaborate with data scientists, analysts, business partners and other stakeholders to understand data requirements and deliver solutions.


- Optimize and tune Hadoop and Spark jobs for performance and efficiency.


- Manage and maintain data storage solutions, ensuring data integrity and security.


- Utilize GitHub for version control and collaboration on code development.


- Work with CDP (Cloudera Data Platform) to manage and deploy data applications.


- Integrate and manage data solutions on Cloud Azure, and Snowflake ensuring seamless data flow and accessibility.


- Monitor and troubleshoot data processing workflows, resolving issues promptly.


- Stay updated with the latest industry trends and technologies in big data and cloud computing.


- Explore and develop skills in newer technologies according to big data technology roadmap.


- Integrate and manage data solutions on Cloud Azure and on-premises infrastructure, ensuring seamless data flow and accessibility.


Required Qualifications :


- Strong experience with Apache Spark, Hadoop ecosystem, Hive, Iceberg, HBase, Apache Kafka, Spark Streaming or Flink, and Oozie (Airflow/NiFi good to have).


- Proficient in Scala, Java, and/or Python with solid coding and debugging skills.


- Applied experience with Solr for indexing and search workloads.


- Familiarity with Git/GitHub, GitHub Actions, Azure DevOps; good to have cloud experience (Azure/AWS).


- Knowledge of SQL, data modeling (nice to have), and experience working in UNIX or UNIX like environments.


- Experience with SCRUM or similar Agile frameworks; strong problem-solving skills; able to produce clear technical documentation.


- Self-starter, effective individual contributor, and good to have Oil & Gas domain knowledge.

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Functional Area

Big Data / Data Warehousing / ETL

Job Code

1633652

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