Data Engineer

Location: Chennai

Experience: 5 - 7 Years

Number of Positions: 2 Chennai | 2 Noida

Overview We are looking for a hands-on Data Engineer to design micro data lakes, define enterprise data strategies, and architect robust data pipelines for batch and real-time data ingestion. The role involves working across structured and unstructured data sources, implementing data quality and governance practices, and collaborating with engineering and product teams to align data architecture with business goals.

Role & Responsibilities

• Design and build micro data lakes tailored to lending domain.
• Define and implement enterprise data strategies including modelling, lineage, and governance.
• Architect and build robust data pipelines for batch and real-time data ingestion.
• Develop strategies for extracting, transforming, and storing data from APIs, PDFs, logs, databases, and more.
• Establish best practices for data quality, metadata management, and data lifecycle control.
• Hands-on in implementation of processes, strategies and tools to create differentiated products. – MUST HAVE.
• Collaborate with engineering and product teams to align data architecture with business goals.
• Evaluate and integrate modern data platforms and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, and Azure.
• Mentor data engineers and advocate for engineering excellence in data practices.

Skill & Qualification

• 4+ years of experience in data engineering.
• Deep understanding of structured and unstructured data ecosystems.
• Hands-on experience with ETL, ELT, stream processing, querying, and data modelling.
• Proficiency in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue CatLog, and Python.
• Expertise in cloud-native data platforms including AWS, Azure, or GCP.
• Strong grounding in data governance, privacy, and compliance standards.
• A strategic mindset with the ability to execute hands-on when needed. Nice to Have
• Exposure to the lending domain
• Exposure to ML pipelines or AI integrations
• Background in fintech, lending, or regulatory data environments