15h Left: Data Engineer

1 week ago

Hyderabad, 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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