Senior Big Data Engineer II

Job Summary

GG11.2 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. Besides contributing in individual capacity to solve wide ranging business problems, this role also leads and develops Data and Analytics talent

Job Details

• Location: Noida, Uttar Pradesh
• 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)
• Independently lead design, solutioning & estimations
• Provide people leadership: coach, develop and engage talent
• NoSql and distributed databases (Hbase, Cosmos DB)
• ETL pipleine design and development; Solutioning and estimation
• Big Data Frameworks : Apache Spark, Hadoop, Hive
• Cloud platforms: 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
• Communication skills, analytical skills, structured problem-solving skills,mentorship & people leadership skills
• Storytelling skills , Partner & Stakeholder engagement experience
• People leadership: talent development & engagement experience
• DevOps practices: Git, AzureDevops, CI/CD pipelines
• Unix shell scripting, MongoDB, Nifi
• Exposure to Gen AI technology and tools
• Banking Financial Services and Insurance domain knowledge

Qualifications

• 10-12+ years of relevant experience
• Bachelors degree in computer science, information technology or equivalent educational qualification

Key Skills

• SQL
• Python/Scala
• Apache Spark
• Azure Data Factory
• Databricks
• NoSQL databases (Hbase, Cosmos DB)
• Hive
• Hadoop
• Nifi

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.