Data Engineer

Job Description

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, prioritise 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 .

Benefits

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 .

Requirements

4 to 6 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, prioritise 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.