Data Engineer - Bangalore Urban, India - Allica Bank

    Allica Bank
    Allica Bank Bangalore Urban, India

    2 weeks ago

    Default job background
    Accounting / Finance

    About Allica Bank

    We are rare amongst banks in that our senior leadership team includes backgrounds at world-leading FinTechs, which shows in their active engagement with our cross-functional Product Squads, and in our bank-wide adoption of modern tools & techniques such as DevOps, Terraform and the Azure Cloud.

    We are working on one of the last untapped fintech opportunities, which is banking to established small & medium-sized enterprises (SMEs). These established SMEs are the backbone of local communities - representing about a quarter of the economy - yet have been largely left behind both by traditional banks and modern fintech providers. Because we're breaking new ground, it often means that we're working on new technological challenges. We are building in-house banking products using modern technologies.

    Purpose of Role

    Data is a key asset to Allica and is deeply embedded in all our teams and products. With data, we assist and work with Finance, Operations, Credit Risk, Product and Management.

    We are looking for ambitious and curious people who can help us understand our data better, contribute to building robust data pipelines and help model our data so that stakeholders and team members can extract better insights from it.

    You will be an integral part of the data engineering team, building and developing the tooling and pipelines that form our data ingestion and modelling machine for our partnerships agreements.

    Principal Accountabilities

    • Understand our data landscape and architecture.
    • Strong skillset in data modelling.
    • Build and maintain data pipelines.
    • Work with the team to engineer tools based on data requirements, manage development from prototyping to productionising.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, improve existing tools for greater scalability, etc.
    • Develop and maintain data and coding standards, produce well-documented codes with robust testing and aligned with our data governance.
    • Helping us implement a data-driven mindset in the company.


    • Previous experience working as a data engineer in a start-up or fast-paced organisation.
    • STEM background or similar.
    • You have strong Python programming skills (built production-grade tools, have a test-driven approach, consistent and well documented code).
    • You have strong SQL skills.
    • Deployed applications on cloud services.
    • Experience in using orchestration tools (Airflow, Dagster or Prefect).
    • Experience with container technology (Docker, Kubernetes).
    • Experience with CI/CD pipelines (preferably Azure DevOps)
    • Experience with application deployment to Cloud services (GCP, AWS, Azure preferred)

    Bonus requirements

    • Design and implement data frameworks.
    • Experience with using data testing tools (Great Expectations, Soda, deequ).
    • Experience with aspects of Data Governance.
    • Experience with automation projects with Python Web, API frameworks in Python (Flask, FastAPI).
    • You can share your GitHub repo (or equivalent)

    Working at Allica India Technology Services Private Limited

    At Allica we want to ensure our employees have the right tools and

    environment in which to succeed in their role and in support of our customers.

    Our employees are at the heart of everything we do, so our benefits are designed with you in mind:

    • Full onboarding support and continued development opportunities
    • Options for flexible working
    • Regular social activities
    • Private Medical Insurance - fully comprehensive cover for the employee and dependants
    • 22 days paid leave/ annual leave per year, excluding National & Festival holidays
    • Discretionary bonus scheme
    • Life assurance (30 Laks)
    • Family friendly policies including enhanced Maternity & Paternity leave