This is a deliveryfocused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in realworld environments.

What Youll Be Doing

- Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms

- Designing, building, and operating batch and streaming data pipelines

- Developing highthroughput, lowlatency data processing systems

- Working within the Databricks and Apache Spark ecosystem to support largescale data workloads

- Building and maintaining cloudnative data solutions on AWS

- Using dbt for data transformation, modelling, testing, and documentation

- Orchestrating data workflows using Airflow or similar orchestration tools

- Writing clean, efficient, and welltested code following software engineering best practices

- Collaborating closely with product, analytics, and platform teams

- Supporting production systems by troubleshooting issues and implementing continuous improvements

- Ensuring solutions are productionready: secure, tested, observable, and costefficient

- Optimising data performance, reliability, and data quality in live environments

Qualifications

What Youll Bring

- 5+ years experience in handson data engineering roles

- We were looking for stronger hands-on technical depth across areas such as building production-grade data pipelines, data quality and validation, Databricks governance/access management, real-time processing, and data security.





- We were looking for more practical experience in designing solutions, explaining technical decisions and trade-offs, and solving complex data engineering problems.

- Candidates who have influenced design and technical decisions with trade offs and rationale.

- Clear, hands-on involvement and ownership across the full lifecycle from design, implementation, testing, Security, Governance, deployment, production support.

- Enterprise-scale environments, large data volumes (between 10s to 100s TBs ),

- Comfortable working with multiple stakeholders (BAs, Architect, Data Scientist, end user).

- Strong handson coding skills in Python, Java, or similar languages, with strong SQL capability

- Proven experience building and operating batch and streaming pipelines in production

- Experience with AWS, Databricks / Spark, and modern data architectures

- Handson experience using dbt for transformations and Airflow (or equivalent) for orchestration

- Solid understanding of data modelling, data quality, and production data systems

- Experience working with relational databases such as Postgres or SQL Server

- Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling

Nice to Have

- Experience enabling ML, AI, or GenAI workloads through strong data foundations

- Exposure to up-to-date BI and analytics tooling

- Experience working in regulated or securityconscious environments

- Consulting or clientfacing delivery experience

📌 Senior Data Engineer (Bengaluru)
🏢 hackajob
📍 Bengaluru