Data Engineer - ClouderaLocation: Pune & MumbaiMode: 5 Days WFOWho we areWe are a leading Data and Analytics company helping enterprises across industries solve their complex data challenges. Our expertise lies in building next-gen data platforms and solutions that enable organizations to unlock the full potential of their data.We partner with enterprises globally to design scalable, reliable, and secure data solutions. With a strong culture of ownership, innovation, and continuous learning, we empower our teams to deliver outcomes that make a real business impact.Job DescriptionWe are seeking a highly skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and optimizing data pipelines and workflows using modern big data and cloud-native tools. This role requires hands-on expertise in PySpark, SQL, workflow orchestration, and working with distributed data platforms like Cloudera.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT data pipelines using PySpark and Airflow. * Work with Cloudera ecosystem (Hadoop, Hive, Impala) to manage and optimize big data workflows.Develop and optimize SQL queries for large-scale data processing and analytics.Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions.Ensure high performance, reliability, and scalability of data workflows.Troubleshoot and resolve data pipeline issues in production environments.Stay current with emerging tools and best practices in data engineering.QualificationsMinimum 5 years of experience as a Data Engineer.Strong expertise in PySpark, SQL, and Airflow.Hands-on experience with Cloudera Hadoop ecosystem (HDFS, Hive, Impala).Strong problem-solving skills and ability to optimize workflows for performance.Must Have SkillsPySparkAirflowSQLCloudera (Hadoop, Impala/Hive)Good to Have SkillsApache NiFiDBTCloudera CertificationWhat Do You GetOpportunity to work with cutting-edge big data and cloud technologies.Competitive salary packages.Health and wellness benefits.Exposure to enterprise-scale data engineering challenges.Learning and certification sponsorships.
