Cloudera Data Engineer
3 days ago
Location: Pune & Mumbai
Mode: 5 Days WFO
Who 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 Responsibilities- Design, 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.
- Minimum 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.
- PySpark
- Airflow
- SQL
- Cloudera (Hadoop, Impala/Hive)
- Apache NiFi
- DBT
- Cloudera Certification
- Opportunity 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.
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