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Job Description & How to Apply Below
Job Description:
· 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 Git Hub 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.
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/Git Hub, Git Hub Actions, Azure Dev Ops; 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.
Shift 2nd 1.00 PM – 10.00 PM
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