Required Skills:
l Proficiency in Databricks and cloud platforms such as AWS, Azure (Preferable), or GCP, with hands-on experience deploying and managing data solutions and associated services (e.g., S3, Redshift, BigQuery)
l Experience with DevOps tools and practices for automation, continuous integration, deployment, and infrastructure management.
l Strong programming skills in Python, Scala, or SQL for data processing, manipulation, and analysis.
l Knowledge of big data technologies and distributed computing concepts, including familiarity with Apache Spark.
l Excellent problem-solving abilities with a strategic mindset and attention to detail.
l Effective communication and interpersonal skills for collaborating with diverse stakeholders and leading cross-functional teams.
l Demonstrated leadership capabilities to guide and inspire a team towards achieving common goals and delivering exceptional results.
l Experience designing and building Databricks data products
l Experience in owning,



designing and implementing data pipelines ingesting enterprise levels of data volume with strong knowledge of data engineering concepts, data integration, and ETL processes
l Ability to write production-grade code including automated testing and able to deploy code via CI/CD platforms (e.g. GitHub Actions, Jenkins)

This role presents an exciting opportunity for a dynamic Lead Data Engineer with expertise in Databricks, DevOps, and leadership to drive impact data engineering solutions for our clients. If you are passionate about leveraging cutting-edge technologies to solve complex data challenges and thrive in a cooperative environment, we encourage you to apply

Educational Qualification:
BE/B.Tech./Master's or Ph.D. in Computer Science, Mechanical Engineering, Electrical Engineering, Mathematics
Alternatively, 5 years of equivalent work experience.

Full time.
Employment Type

Bangalore
Location

📌 Databricks Engineer (Bengaluru)
🏢 Hunarstreet Technologies
📍 Bengaluru