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2 Job openings at Bosswallah Technologies
Data Engineer

Hyderabad

3 - 7 years

INR 18.0 - 34.0 Lacs P.A.

Work from Office

Full Time

Hiring Data Engineers (4+ yrs) in Bengaluru/Hyderabad. Design ETL pipelines, build data lakes/warehouses, ensure data quality. Skills: Python, SQL, Airflow, Kafka, BigQuery, Spark, AWS/GCP. Work with analysts, PMs, ML teams. Health insurance Provident fund

Data Engineer

Hyderabad, Bengaluru

3 - 7 years

INR 20.0 - 25.0 Lacs P.A.

Work from Office

Full Time

Location: Bengaluru /Hyderabad Experience: 3+ Years About Us Boss Wallah is a platform empowering small business owners and aspiring entrepreneurs with the skills, support, and expert guidance needed to start and grow their businesses. We offer courses from successful entrepreneurs across 100+ business areas, access to 2,000+ experts, and content in six languages (Telugu, Tamil, Kannada, Hindi, Malayalam, and English). Role Overview Were looking for passionate and experienced Data Engineers to join our team and help us scale our data infrastructure. You’ll play a key role in designing robust pipelines, maintaining high-quality datasets, and powering data-driven decisions across the company. Requirements 3+ years in data engineering B.Tech/BE in CS or equivalent from a top-tier institution Experience at a B2C startup preferred Strong in data modeling, warehousing, and scalable pipelines Tech Stack Proficient in Python, advanced SQL and ETL tools (Airflow/Mage) for workflow orchestration Skilled in handling high-throughput data streams with Apache Kafka, and experienced in working with diverse storage systems including ClickHouse for OLAP workloads BigQuery for serverless analytics, and MySQL/MongoDB for relational and NoSQL use cases Cloud platforms (AWS/GCP/Azure), with practical knowledge of distributed framework like Spark/Hadoop Responsibilities Design and maintain efficient ETL/ELT pipelines Build scalable data lakes/warehouses Ensure data quality, availability, and security Collaborate with analysts, PMs, and ML teams Monitor and optimize infrastructure Contribute to data governance

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