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About the role
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.
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