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The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. We are seeking an experienced and highly skilled PySpark Developer to design, develop, and maintain robust and scalable data processing solutions. The ideal candidate will have a strong background in big data technologies, particularly Apache Spark with Python (PySpark), and a deep understanding of data warehousing, ETL/ELT processes, and cloud platforms.
Job Responsibility:
Proficiency in designing and building robust data pipelines, data ingestion, transformation, and processing workflows
Leading and mentoring a team of data engineers or analysts, fostering best practices, and ensuring the delivery of high-quality data products
Working closely with product partners and business analysts, to understand requirements and deliver impactful analytical solutions
Requirements:
8 years of experience in software development with a focus on data engineering
3+ years of experience with PySpark for data processing, ETL (Extract, Transform, Load) operations, data manipulation, and building distributed computing solutions on large datasets
Proficiency in designing and building robust data pipelines, data ingestion, transformation, and processing workflows
Solid understanding of data modeling principles, database design, and strong SQL skills for data querying and analysis
Ability to analyze data, identify patterns, uncover insights, and translate business needs into actionable data solutions
Leading and mentoring a team of data engineers or analysts, fostering best practices, and ensuring the delivery of high-quality data products
Working closely with product partners and business analysts, to understand requirements and deliver impactful analytical solutions
Strong understanding of data processing concepts and techniques
Proficiency in SQL and experience with relational databases
Experience with cloud platforms such as AWS, Azure, or GCP is a plus
Familiarity with data warehousing concepts and technologies
Experience with big data technologies such as Hadoop, Hive, or Impala is a plus
Excellent problem-solving and communication skills
Ability to work independently and as part of a team
Understanding of microservices architecture principles and design patterns
Experience with DevOps practices and tools
Bachelor’s degree/University degree or equivalent experience
Nice to have:
Experience with cloud platforms such as AWS, Azure, or GCP is a plus
Familiarity with data warehousing concepts and technologies
Experience with big data technologies such as Hadoop, Hive, or Impala is a plus
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