Lead PySpark Developer

1 Month ago • 5-12 Years

Job Summary

Job Description

This role involves designing, developing, and maintaining scalable ETL pipelines using PySpark on the Cloudera Data Platform (CDP). Responsibilities include data ingestion from various sources, data transformation, performance optimization of PySpark code and Cloudera components, and implementing data quality checks. The position also requires automating data workflows using tools like Apache Oozie or Airflow, monitoring pipeline performance, troubleshooting issues, and collaborating with stakeholders to understand data requirements and maintain documentation.
Must have:
  • Advanced proficiency in PySpark
  • Strong experience with Cloudera Data Platform (CDP)
  • Knowledge of data warehousing concepts
  • Familiarity with Hadoop and Kafka
  • Experience with orchestration tools (Oozie, Airflow)
  • Strong Linux scripting skills

Job Details

Overall Responsibilities:

  • Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy.
  • Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.
  • Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements.
  • Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes.
  • Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline.
  • Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem.
  • Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes.
  • Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives.
  • Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.

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 SQL-based tools (e.g., Hive, Impala).
  • Familiarity with Hadoop, Kafka, and other distributed computing tools.
  • Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
  • Strong scripting skills in Linux.

Category-wise Technical Skills:

  • PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
  • Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
  • Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based 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:

  • 5-12 years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.
  • Proven track record of implementing data engineering best practices.
  • Experience in data ingestion, transformation, and optimization on the Cloudera Data Platform.

Day-to-Day Activities:

  • Design, develop, and maintain ETL pipelines using PySpark on CDP.
  • Implement and manage data ingestion processes from various sources.
  • Process, cleanse, and transform large datasets using PySpark.
  • Conduct performance tuning and optimization of ETL processes.
  • Implement data quality checks and validation routines.
  • Automate data workflows using orchestration tools.
  • Monitor pipeline performance and troubleshoot issues.
  • Collaborate with team members to understand data requirements.
  • Maintain documentation of data engineering processes and configurations.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Relevant certifications in PySpark and Cloudera technologies are a plus.

Soft Skills:

  • Strong analytical and problem-solving 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.

S​YNECHRON’S 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 applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

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About The Company

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies spanend-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in ourFinLabswe develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.Over the last20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of14,500+,and has58offices in 21 countrieswithin key global markets.For more information on the company, please visit ourwebsiteorLinkedIncommunity.

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