PySpark Developer Cloudera Data Platform and ETL Pipelines
PySpark Developer Cloudera Data Platform and ETL Pipelines
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Job Description
Software Requirements:
- Advanced proficiency in PySpark including working with RDDs DataFrames and optimization techniques
- Strong experience with Cloudera Data Platform (CDP) components including Cloudera Manager Hive Impala HDFS and HBase
- Knowledge of data warehousing concepts ETL best practices and experience with SQLbased tools (e.g. Hive Impala)
- Familiarity with big data technologies such as Hadoop and Kafka
- Experience with orchestration and scheduling frameworks like Apache Oozie or Airflow
- Strong scripting skills in Linux
Overall Responsibilities:
- Design develop and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform
- Implement and manage data ingestion processes from various sources (e.g. relational databases APIs file systems)
- Use PySpark to process cleanse and transform large datasets into meaningful formats
- Conduct performance tuning of PySpark code and Cloudera components
- Implement data quality checks monitoring and validation routines
- Automate data workflows using tools like Apache Oozie or Airflow
- Monitor pipeline performance troubleshoot issues and perform routine maintenance on CDP
- Collaborate with other data engineers analysts product managers and stakeholders to understand data requirements
- Maintain thorough documentation of data engineering processes code and pipeline configurations
Technical Skills:
PySpark Development:
- Advanced proficiency in PySpark including working with RDDs DataFrames and optimization techniques
Cloudera Data Platform:
- Strong experience with CDP components including Cloudera Manager Hive Impala HDFS and HBase
Data Warehousing:
- Knowledge of data warehousing concepts ETL best practices and experience with SQLbased tools (e.g. Hive Impala)
Big Data Technologies:
- Familiarity with Hadoop Kafka and other distributed computing tools
Orchestration and Scheduling:
- Experience with Apache Oozie Airflow or similar orchestration frameworks
Scripting and Automation:
- Strong scripting skills in Linux
Experience:
- Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field
- 5 years of experience as a Data Engineer with a strong focus on PySpark and the Cloudera Data Platform
DaytoDay Activities:
- Develop and maintain ETL pipelines using PySpark on the Cloudera Data Platform
- Implement data ingestion processes from various sources
- Process cleanse and transform large datasets using PySpark
- Optimize PySpark code and Cloudera components for performance
- Perform data quality checks monitoring and validation routines
- Automate data workflows using orchestration tools
- Monitor pipeline performance and troubleshoot issues
- Collaborate with team members to understand data requirements and support datadriven initiatives
- Maintain documentation of data engineering processes and configurations
Qualifications:
- Bachelors or Masters degree in Computer Science Data Engineering Information Systems or a related field
Soft Skills:
- Strong analytical and problemsolving skills
- Excellent verbal and written communication abilities
- Ability to work independently and collaboratively in a team environment
- Attention to detail and commitment to data quality
SYNECHRONS DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity Equity and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger successful businesses as a global company. We encourage applicants from across diverse backgrounds race ethnicities religion age marital status gender sexual orientations or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements mentoring internal mobility learning and development programs and more.
All employment decisions at Synechron are based on business needs job requirements and individual qualifications without regard to the applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Employment Type
Full-Time
