Senior Engineer - GBS IND

Role overview

Responsibilities

• Develop scalable Big Data solutions for collecting, storing, and analyzing large datasets from multiple channels.
• Design and optimize workflows using Hadoop technologies including HDFS, Spark, Scala, MapReduce, YARN, Hive, Sqoop, Impala, Hue, and Oozie.
• Implement near-real-time and streaming solutions using Spark Streaming and Kafka.
• Benchmark performance, identify system bottlenecks, and propose efficiency improvements with cross-functional teams.
• Define enterprise Big Data strategies and roadmaps aligned with business objectives.
• Apply NoSQL technologies such as MongoDB, SingleStore, or HBase to diverse data and storage needs.
• Evaluate emerging Big Data tools and frameworks; guide and mentor junior teammates.

Requirements

• 15+ years of application development experience focused on hands-on Big Data work.
• Graduation or post-graduation; listed qualifications include B.E., B.Tech, M.E., M.Tech, or MCA.
• Strong Hadoop stack skills, including Spark, Hive, YARN, Sqoop, Impala, Hue, and HDFS.
• Proficiency in Python, Scala, and Bash/Shell scripting.
• Understand Hadoop architecture and design patterns, frameworks, programming best practices, and automation.
• Support production incident troubleshooting and planned application releases.
• Translate business requirements into technical requirements and communicate with Product Owners and offshore developers.
• Understand security, compliance, operations, resilience, scalability, and automation requirements.

Desired skills

• Desired: streaming technologies such as Spark Streaming, Kafka, or Flink; Hadoop data integration and security, including Kerberos.
• Desired: Generative AI technologies such as Copilot, agentic AI, prompt design, embeddings, and retrieval frameworks.
• Desired: NoSQL technologies such as HBase, MongoDB, or SingleStore; cloud platforms such as Azure, AWS, or GCP.
• Desired: machine-learning algorithms and data analysis/model development; experience leading development teams.
• Certifications are not mandatory.

Work schedule

• Work hours are 12:30 PM–9:30 PM.

Job location

• The description lists Chennai as the job location.