Posted on: 06/05/2026
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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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1633652