Data Engineer

Website: hotfoot.co.in
Job details:

About Us

Hotfoot is an Enterprise FinTech focused on end-to-end digital transformation and automation for financial institutions. Our platform digitizes and streamlines the full loan lifecycle – from onboarding and KYC to decision automation, document digitization, and disbursement. We combine strong domain expertise with AI/ML-driven innovation to deliver scalable and industry-ready lending solutions.

Website: https://hotfoot.co.in/

The Role:Data Engineer

Hands-On | Micro Data Lakes | Enterprise Data Strategy

Are you a hands-on Data Engineer who thrives on solving complex data problems across structured and unstructured sources? Do you enjoy designing micro data lakes and driving enterprise-wide data strategy? If so, we want to hear from you.

You will:

• Design and build micro data lakes tailored to lending domain
• Define and implement enterprise data strategies including modelling, lineage, and governance
• 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 the implementation of processes, strategies and tools to create differentiated products.

MUST HAVE

• Collaborate with engineering and product teams to align data with business goals
• Evaluate and integrate modern data platforms and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, Azure

What We’re Looking For

Experience:

5+ years of experience in data engineering

Expertise:

• 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

What We Offer

• An opportunity to lead data-first transformation, create products that accelerate AI adoption
• Autonomy to design, build, and scale modern data architecture
• A forward-thinking, collaborative, and tech-driven culture
• Access to the latest tools and technologies in the data ecosystem

Location: Chennai

Experience: 5-7 Years | Full-Time | Work From Office

• For any queries, feel free to reach out at: deepa.thirunavukarasu@hotfoot.co.in

Click on Apply to know more.