Senior Data Engineer
3 months ago
Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains.
What will you be doing?
● Working with the client and the team to determine data processing and access needs and how
best to deliver them.
● Leading efforts in data optimisations and design efficient data pipelines, leading discussions in data architectural calls, leading team of DEs and making sure to enforce best practises.
● Creation and support of highly available data pipelines and storage solutions (e.g. data
warehouses).
● Minimum 5 years of experience till 9 years is preferable
● Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
● Automation of data infrastructure and deployments.
● Advocating agile practices to the client organisation.
● Mentoring client team members.
● Helping improve the team and clients’ data capabilities.
What are we looking for?
● Domain information and Technologies - Retail (Tech stack - Python, SQL, Spark, DBT, Databricks, Azure)
- Build and optimize data pipelines using Databricks, SQL, and Apache Spark.
- Design and implement scalable data processing systems.
- Manage and optimize data pipelines.
- Ensure the quality and efficiency of data flows.
- Deep expertise in big data technologies, particularly Databricks, SQL, and Spark.
- Very strong SQL skills.
- Experience in data modeling and ETL processes.
- Experience with analytics engineering is a plus.
- Experience with DBT is a plus.
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