Data Engineer (DataOps) , VP

Join us as a Data Engineer. You'll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making. We will look to you to drive the build of effortless, digital-first customer experiences. If you're ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you're looking for. This role is based in India, and as such, all normal working days must be carried out in India. We're offering this role at vice president level. As a Data Engineer, you'll be looking to simplify our organization by developing innovative data-driven solutions through data pipelines, modeling, and ETL design, aiming to be commercially successful while keeping our customers and the bank's data safe and secure. You'll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You'll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture. Your responsibilities will also include building advanced automation of data engineering pipelines through the removal of manual stages, embedding new data techniques into our business through role modeling, training, and experiment design oversight, delivering a clear understanding of data platform costs to meet your department's cost-saving and income targets, sourcing new data using the most appropriate tooling for the situation, and developing solutions for streaming data ingestion and transformations in line with our streaming strategy. To thrive in this role, you'll need a strong understanding of data usage and dependencies and experience of extracting value and features from large-scale data. You'll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals. Additionally, you'll need experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis, experience in operational resilience including incident management, incident detection, resolution, reporting, and optimization, a good understanding of data pipeline failures, experience of working on ServiceNow, Airflow, Stream sets, AWS EMR, GitLab, and Snowflake, and strong communication skills with the ability to proactively engage and manage a wide range of stakeholders.,