Data Engineer

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 .