Cloudera Data Engineer
Cloudera Data Engineer
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Job Description
Data Engineer - Cloudera
Location: Pune & Mumbai
Mode: 5 Days WFO
Who we are
We 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 Description
We 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
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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.
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Develop and optimize SQL queries for large-scale data processing and analytics.
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Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions.
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Ensure high performance reliability and scalability of data workflows.
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Troubleshoot and resolve data pipeline issues in production environments.
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Stay current with emerging tools and best practices in data engineering.
Qualifications
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Minimum 5 years of experience as a Data Engineer.
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Strong expertise in PySpark SQL and Airflow.
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Hands-on experience with Cloudera Hadoop ecosystem (HDFS Hive Impala).
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Strong problem-solving skills and ability to optimize workflows for performance.
Must Have Skills
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PySpark
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Airflow
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SQL
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Cloudera (Hadoop Impala/Hive)
Good to Have Skills
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Apache NiFi
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DBT
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Cloudera Certification
What Do You Get
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Opportunity to work with cutting-edge big data and cloud technologies.
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Competitive salary packages.
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Health and wellness benefits.
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Exposure to enterprise-scale data engineering challenges.
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Learning and certification sponsorships.
Employment Type
Full Time
