Senior Data Engineer
2 weeks ago
Role Summary
Capgemini is seeking a highly skilled Senior Data Engineer - Python/PySpark to join our dynamic data engineering team. The ideal candidate will have a strong background in building scalable distributed data processing systems using PySpark and working on large datasets.
Key Responsibilities
- Collaborate with data scientists engineers and other stakeholders to design and implement efficient data pipelines.
- Develop optimize and maintain ETL pipelines using PySpark to process large-scale datasets across distributed environments.
- Design and implement complex data transformation logic using PySpark and other Big Data tools.
- Work with various Big Data technologies such as Hadoop Hive HBase Kafka and Spark to build robust scalable data systems.
- Collaborate with data engineers and data scientists to integrate data from multiple sources and create unified datasets.
- Write efficient reusable and scalable Python code to handle both batch and real-time data processing tasks.
- Ensure data quality consistency and reliability by implementing data validation monitoring and error handling.
- Fine-tune and optimize PySpark jobs to improve performance in distributed environments.
- Manage and maintain data flows in HDFS ensuring scalability and fault tolerance.
- Perform data extraction aggregation and reporting using SQL and NoSQL databases.
- Participate in system design discussions and provide recommendations for architecture and performance improvements.
What We Offer
- Flexible work arrangements
- Healthcare including dental vision mental health and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Family building benefits like adoption assistance surrogacy and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Disaster Relief
Equal Opportunity Employer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race national origin gender identity/expression age religion disability sexual orientation genetics veteran status marital status or any other characteristic protected by law.
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