Data Engineer, VP

2 weeks ago


Gurgaon, Haryana, India NatWest Digital X Full time

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-makingWe'll look to you to drive the build of effortless, digital first customer experiencesIf 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 forWe're offering this role at vice president levWhat you'll do As a Data Engineer, you'll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring 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 removal of manual stagesEmbedding new data techniques into our business through role modelling, training, and experiment design oversightDelivering a clear understanding of data platform costs to meet your departments cost saving and income targetsSourcing new data using the most appropriate tooling for the situationDeveloping solutions for streaming data ingestion and transformations in line with our streaming strategyThe skills you'll need 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 on Python, pyspark/scala, along with experience on streaming technologies like Kafka, SparkData warehousing and data modelling capabilitiesGood hands on knowledge on AWS/Cloud like S3, Airflow, EMR, Datawarehouse – Snowflake, CloudwatchExperience of working in a governed, and regulatory environmentStrong communication skills with the ability to proactively engage and manage a wide range of stakeholders
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