We are looking for experienced Big Data & Hadoop Developers to join our growing data engineering team and work on large-scale enterprise data platforms.
✅ Hadoop Ecosystem & HDFS
✅ Apache Spark
✅ Hive & Hive UDF Development
✅ Unix Shell Scripting
✅ Big Data Technologies
✅ Performance Tuning & Debugging
Role Overview
Strong understanding of Hadoop concepts, including HDFS and MapReduce.
Hands-on experience in Spark, Hive, Unix Shell Scripting, and Hive UDF development.
Ability to design and develop large-scale data processing solutions.
Strong debugging and performance tuning experience in Spark and Hive environments.
Good understanding of Software Development Life Cycle (SDLC) and project delivery processes.
Ability to work independently and collaborate effectively with client stakeholders.
Key Responsibilities
Gather business requirements and participate in solution design.
Develop scalable data processing frameworks using Spark.
Build and optimize ETL and data transformation workflows.
Analyze, troubleshoot, and resolve complex production issues.
Collaborate with cross-functional teams to deliver high-quality solutions.
Work in shifts based on project requirements.
Valuable to Have
⭐ Banking & Financial Services domain experience
⭐ Agile methodology experience
⭐ Autosys or similar job scheduling tools
⭐ Kafka knowledge
Ideal Candidate
We are looking for professionals with strong technical expertise in Big Data technologies, excellent analytical and problem-solving abilities, and the capability to work in fast-paced enterprise environments.
📌 Big Data Developer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru
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