About the role
We are looking for a Senior Analytics Engineer to build and maintain reliable data pipelines, analytics models and reporting datasets across marketing, sales, finance and learning operations. This is a hands-on role requiring strong SQL, Python and data engineering skills. You will work closely with analysts, Technology and business stakeholders to deliver accurate, timely and secure data while improving infrastructure reliability, performance and cost.

Key Responsibilities
• Build scalable pipelines: Integrate databases, CRM, marketing platforms and application events using reliable ETL/ELT workflows.
• Ensure trusted data: Develop reusable analytics models and automate validation, reconciliation, freshness and schema-change checks.
• Own reliability: Monitor pipelines and reporting dependencies, resolve incidents within agreed SLAs and prevent recurring failures.
• Improve performance and cost: Optimise queries, scheduling and infrastructure capacity; reduce manual effort and technical debt.
• Maintain engineering standards: Apply code reviews, deployment checks, rollback procedures and tested recovery processes.
• Secure analytics systems: Manage access across the warehouse and BI tools, protect sensitive data and coordinate with Technology/Security.
• Deliver business

requirements:




Partner with analysts and stakeholders to establish consistent metric definitions and deliver datasets and automation within agreed timelines.
• Document and improve: Maintain documentation and knowledge resources, share best practices and use validated AI tools to improve productivity. Required Skills and Experience
• 3–4 years of hands-on experience in analytics engineering, data engineering or a similar role.
• Solid SQL, including complex joins, window functions, query optimisation and indexing.
• Proficiency in Python for data processing, automation and API integrations.
• Experience building and supporting production ETL/ELT pipelines, including incremental loads, retries and backfills.
• Strong understanding of data modelling, warehousing and reusable reporting datasets.
• Experience with PostgreSQL and/or MySQL, including performance troubleshooting.
• Working experience with AWS services such as S3, Glue, Lambda and DMS, or comparable cloud services.
• Experience implementing data quality checks, monitoring, alerting and failure recovery.
• Familiarity with Git, code reviews, deployment practices and secure handling of sensitive data.
• Ability to own delivery independently and communicate clearly with technical and business stakeholders.
• Hands-on experience using AI tools to improve SQL/Python development, troubleshooting, data validation and documentation, with responsibility for validating outputs and protecting sensitive data.

📌 Senior Data Analytics Engineer (Bengaluru)
🏢 BrightChamps
📍 Bengaluru