Data Engineer

6 days ago

Ellore, Andhra Pradesh, India Divami Full time

Location: Hyderabad -Onsite

Experience: 3–5 years

Company: Divami Design Labs

About Divami:

At Divami Design Labs, we are passionate about crafting world-class UX/UI solutions for global clients. Being a bootstrapped and growing company, every team member plays a critical role in shaping our journey. We are now building our data capabilities to empower decision-making, drive product insights, and enable smarter business outcomes.

We're looking for a hands-on Data Engineer who thrives in a lean environment, enjoys problem-solving, and wants to make a direct impact on both our internal systems and client-facing products.

Role Overview:

As a Data Engineer at Divami, you will be responsible for designing, building, and maintaining efficient data pipelines. You will collaborate closely with engineering, product, and business teams to ensure data is clean, reliable, and accessible for analytics, reporting, and product innovation.

This is a mid-level role ideal for someone who has worked on end-to-end data engineering projects and is eager to grow with a company where ownership, innovation, and resourcefulness matter more than hierarchy.

Key Responsibilities:

  • Build and maintain data pipelines (ETL/ELT) to move data from multiple sources into data stores/warehouses.
  • Collaborate with cross-functional teams to define data requirements, models, and metrics.
  • Manage and optimize data storage solutions (Postgres, BigQuery, Redshift, or cost-effective alternatives).
  • Ensure data quality, validation, and governance across all pipelines.
  • Implement automation, monitoring, and alerting for data workflows.
  • Support business intelligence, dashboards, and analytics use cases.
  • Work on API integrations and structured/unstructured data ingestion.

Requirements:

  • 3–5 years of experience in data engineering / backend development.
  • Proficiency in SQL and Python (or equivalent programming language).
  • Hands-on experience with ETL frameworks (Airbyte, Airflow, dbt, Luigi, or similar).
  • Good understanding of data warehousing concepts, schema design, and optimization.
  • Exposure to cloud platforms (AWS/GCP/Azure) or open-source alternatives.
  • Ability to work independently, prioritize tasks, and deliver in a lean setup.
  • Strong problem-solving mindset and a passion for building scalable systems.

Nice-to-Haves:

  • Experience working in a startup/bootstrapped environment.
  • Knowledge of real-time data processing (Kafka, Spark, Flink).
  • Familiarity with BI tools (Metabase, Tableau, Power BI, Looker).
  • Exposure to analytics engineering / ML pipelines.

What We Offer:

  • Opportunity to own and grow the data function at Divami.
  • A chance to work on impactful projects that directly influence product and business strategy.
  • Collaborative culture with designers, engineers, and product thinkers.
  • Flexibility, autonomy, and career growth in a fast-moving, bootstrapped setup.

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