Data Engineer I

Job Description Job Title Deputy Manager Data Engineering Location Gurgaon HO Department AI Works Function AI Works Reporting to AVP Band Job Summary We are seeking a skilled Data Engineer to join our dynamic team. In this role, will be responsible for implementing and maintaining scalable data pipelines and infrastructure on AWS cloud platform. The ideal candidate will have experience with AWS services, particularly in the realm of big data processing and analytics. The role involves working closely with cross-functional teams to support data-driven decision-making and focus on delivering business objectives while improving efficiency and ensuring high service quality. KEY RESPONSIBILITIES: Develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources. Implement real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc. Optimize performance of data processing jobs and ensure system scalability and reliability. Collaborate with DevOps teams to manage infrastructure, including cloud environments like AWS Collaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting. Strong analytical and problem-solving skills with attention to detail. To maintain a healthy working relationship with the business partners/users and other MLI departments Responsible for overall performance, cost and delivery of technology solutions Skills required Hands-on experience with AWS services such as S3, Lambda, EMR, Glue, Redshift,RDS (Postgres) Athena, etc. Knowledge of data modelling and knowledge of modern file and table formats. Proficiency in programming languages such as Python, PySpark, SQL/PLSQL for implementing data pipelines and ETL processes. Knowledge of modern data stack. Knowledge of DevOps to perform CI/CD for data pipelines. Knowledge of Data Observability, automated data lineage and metadata management would be an added advantage. Cloud/hybrid cloud (preferable AWS) solution for data strategy for Data lake, BI and Analytics Set-up logging, monitoring, alerting, dashboards for cloud solution and data solution Experience with data warehousing concepts. 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.