Lead Big Data Engineer I

Job highlights

• Experience 12-14+ years of relevant experience . Education Bachelors degree in computer science,information technology or equivalent educational qualification .
• 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 .

Job Summary

GG12.1 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. The role requires to be highly proficent at technical skills. Besides contributing in individual capacity, this role also leads and develops Data and Analytics talent.

Job Details

• Location: Pune, Maharashtra

• Working Schedule: Full-Time

• Work Arrangement: Hybrid

• Relocation Assistance Available: No

  Qualifications

• Experience 12-14+ years of relevant experience

• Education Bachelors degree in computer science, information technology or equivalent educational qualification

  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

• Solve complex business problems using data and advanced technologies

• Monitor, optimize, and troubleshoot data pipelines to ensure reliability, scalability, and performance

• Ensure data processing, quality, security, and compliance guidelines are followed

• Collaborate with multiple partners from Business, Technology, Operations and DA capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI insights)

• Independently lead design, solutioning estimations

• Provide people leadership: coach, develop and engage talent

  Technical Skills

• SQL

• Python/Scala

• NoSQL and distributed databases (HBase, Cosmos DB)

• ETL pipeline design and development; Solutioning and estimation

• Big Data Frameworks: Apache Spark, Hadoop, Hive

• Cloud platforms (Azure Data Factory, Synapse, Databricks)

• Data warehouses, data marts, data lakes

• Medallion architecture, and other design patterns

• Performance tuning, optimization, and data quality validation

• Real-time and batch data processing, streaming pipelines with Spark

  Desirable Skills

• DevOps practices: Git, AzureDevOps, CI/CD pipelines

• Unix shell scripting

• MongoDB

• Nifi

• Lambda architecture

• Kappa Architecture

• Exposure to Gen AI technology and tools

• Banking Financial Services and Insurance domain knowledge

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.