Data Engineer

18 hours ago

Mumbai, Maharashtra, India Godrej Capital Full time
Godrej Capital is a subsidiary of Godrej Industries and is the holding company for Godrej Housing finance & Godrej Finance. With a digital-first approach and a keen focus on customer-centric product innovation, Godrej Capital offers Home Loans, Loan Against Property, Property Loans, Business Loans and is positioned to diversify into other customer segments and launch new products. The company is focused on building a long-term, sustainable retail financial services business in India, anchored by Godrej Group's 125+year legacy of trust and excellence. Godrej Capital has a special focus on learning and capability development across its employee base and is committed to diversity, equity, and inclusion as a guiding principle.

As it stands, Godrej Capital holds a spot among India's Top 50 Best Workplaces in BFSI 2023 and is also recognized as one of India's Great Mid-Size Workplaces 2023. Beyond that, it has also had the honor of being named the Best Organization for Women by The Economic Times in both 2022 and 2023, and the Best Workplaces for Women by Great Place to Work in 2022 and in 2023.

Information Technology

The role incumbent will be responsible for managing, expanding and optimizing our data pipeline architecture and optimizing data flow and collection for cross functional teams. The incumbent will support our team of data analysts and scientists on data initiatives and will ensure optimal and timely data delivery. Candidate must be self-driven and comfortable supporting the data needs of multiple teams, systems and products. Candidate will play a major role as we work on building a superior and scalable architecture to enable leveraging data to the fullest extent.

Create and maintain optimal data pipeline architecture.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Working knowledge of message queuing, stream processing, and big data data (optional)

Perform sanity testing, issue reporting and tracking.

Assist teams in UAT testing and resolve issues as per criticality,

Handle audit and compliance activities for data platform.

Qualification & experience

Years of experience: 3-5 years of experience

Qualification – Engineering / Certified Data Engineer

Experience with data pipeline and workflow management tools.

Knowledge of AWS cloud services, Data-Lake, Glue / Python/ PySpark/ Kafka/ API/ Change Data Capture, Streaming data, data modelling will be a key advantage.

Experience with relational SQL and NoSQL databases.

Machine Learning skills

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