AWS Data Engineer

Skip to main content AWS Data Engineer hackajob Pune Division, Maharashtra, India AWS Data Engineer hackajob Pune Division, Maharashtra, India 1 week ago Be among the first 25 applicants See who hackajob has hired for this role Report this job hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.At Barclays, we don’t just adapt to the future – we create it. Embark on a transformative journey as part of the AWS Data Engineer, where you’ll play a pivotal role in ensuring the resilience, scalability, and reliability of critical Digitized MI architecture within the Management Information reporting domain. You will be a key contributor championing quality and performance for systems that power Business reporting on multiple technologies, focusing on driving improvements in system stability, throughput, efficiency, and control.Working closely with BA, SA, Engineering teams and stakeholders across multiple business divisions such Investment Bank, Barclays UK etc, you will help deliver high-performing solutions through agile delivery models. You will collaborate to understand system benchmarks, identify performance bottlenecks, and lead performance engineering initiatives while interfacing with technology partners to ensure optimal system behaviour under varying load conditions.Improving the ongoing drive to enhance platform performance and reliability, you will champion a data-driven and collaborative approach, ensuring that performance considerations are embedded throughout the software development lifecycle. Additionally, ensuring compliance with performance standards, risk controls, and service-level expectations will be a key responsibility.To be successful as a AWS Data Engineer, you should have experience with:Experience in designing & building Astronomer/Airflow DAGs.Working knowledge of pySQL, pySpark for data processing.Python programming: pandas, boto3, PySpark for data processing.Design & Build MI solutions using different AWS Services (S3, EC2, IAM, Glue, Lambda, Step Functions, CloudFormation, ServiceCatalog).Some Of Highly Valued Skills May IncludeDesign & building Data models/Business Transformations in Snowflake.Exposure of GitLab CI/CD for automated deployment to Production environment.DBT/Spark for analytics engineering and data transformation.Tableau/Power BI for business intelligence and reporting.Hands-on experience in setting up finer grain access using Immuta.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.The location of the role is Pune, INPurpose of the roleTo build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.AccountabilitiesBuild and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.Development of processing and analysis algorithms fit for the intended data complexity and volumes.Collaboration with data scientist to build and deploy machine learning models.Analyst ExpectationsTo perform...