About the role

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 productsl 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 processesl 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 collaborative environment, we encourage you to apply Educational Qualification:BE/B.Tech./Master's or Ph.D. in Computer Science, Mechanical Engineering, Electrical Engineering, MathematicsAlternatively, 5 years of equivalent work experience.
Full time. Employment Type Bangalore Location

Databricks Engineer

About the role

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