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Data Engineer, AVP
Royal Bank of Scotland
Bengaluru, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 1 weeks ago
PySparkSQLMongoDBKafkaAWSCI/CD
Free
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PySparkSQLMongoDB
Key Skills for This Role
PySparkSQLMongoDBKafkaAWSCI/CD
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What you’ll do
Your daily responsibilities will include you developing a comprehensive knowledge of our data structures and metrics, advocating for change when needed for product development. You’ll also provide transformation solutions and carry out complex data extractions.
We’ll expect you to develop a clear understanding of data platform cost levels to build cost-effective and strategic solutions. You’ll also source new data by using the most appropriate tooling before integrating it into the overall solution to deliver it to our customers.
You’ll also be responsible for:
Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to build data solutions
Participating in the data engineering community to deliver opportunities to support our strategic direction
Carrying out complex data engineering tasks to build a scalable data architecture and the transformation of data to make it usable to analysts and data scientists
Building advanced automation of data engineering pipelines through the removal of manual stages
Leading on the planning and design of complex products and providing guidance to colleagues and the wider team when required
The skills you’ll need
- To be successful in this role, you’ll have an understanding of data usage and dependencies with wider teams and the end customer. You’ll also have experience of extracting value and features from large scale data.
- We’ll expect you to have at least eight years experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis, and data warehousing and data modelling capabilities.
- You’ll also need:
- To build scalable data pipelines using PySpark, SQL, MongoDB and Kafka, delivering high-quality data products and CDC solutions across cloud-based data platforms
- To own end-to-end data product delivery on AWS, applying lakehouse architecture, data governance, security controls and operational excellence to meet business needs
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