Senior Big Data Engineer I

Job Summary

GG11.1 Role Value Proposition Data Engineer plays a critical role in data and analytics life cycle and significantly contributes to production grade data and analytics solutions. The role requires one to demonstrate Big Data, Engineering and Cloud expertise. This role mentors Data engineers. It is an individual contributor role, expected to solve wide ranging business problems, Experience 8-10+ years of relevant experience Education Bachelors degree in computer science, information technology or equivalent educational qualification.

Job Information

• Location Hyderabad, Telangana
• Working Schedule Full-Time
• Work Arrangement Hybrid
• Relocation Assistance Available No

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines on cloud(Azure) or on-prem to collect, ingest and store large volumes of structured and unstructured data for batch/real time processing
• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance
• Ensure data processing, quality, security, and compliance guidelines, policies and standards are followed
• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)
• Mentor Data Engineers
• Independently lead design, solutioning & estimations

Requirements

• Experience 8-10+ years of relevant experience
• Education Bachelors degree in computer science, information technology or equivalent educational qualification
• SQL
• Python/Scala
• Cosmos DB
• ETL pipleine design and development; Solutioning and estimation
• Big Data Frameworks : Apache Spark, Hadoop, Hive
• Azure Data Factory, Eventhub, Azure functions, Synapse, Databricks
• Datawarehouses, data marts, data lakes
• Medallion architecture
• Performance tuning, optimization, and data quality validation
• Real-time and batch data processing, streaming pieplines with Spark
• Mentorship experience
• Storytelling skills , Partner & Stakeholder engagement experience
• Good To have - DevOps practices: Git, AzureDevops, CI/CD pipelines
• Unix shell scripting, Kafka, MongoDB, Nifi
• Exposure to Gen AI technology and tools
• Banking Financial Services and Insurance domain knowledge

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