What are the responsibilities and job description for the Data Engineer position at Cyborgwave?
Title: Data Engineer (Python, PySpark and AWS)
Location: Columbus, OH
Client: Mphasis/ JPMC
Type: Contract
Position Summary
A Data Engineer at CMS is a software engineer with proficiency in data. The data engineer will build and maintain the CMS data warehouse which is used for both reporting and analytics across the company. The individual works cross functionally with technical and business teams to identify opportunities to better leverage data. The data comes from a variety of sources and it is the responsibility of the data engineer to make sense of the data using cloud based systems (AWS) and provide a reliable and structured format to meet the different business needs at CMS.
Duties And Responsibilities
Location: Columbus, OH
Client: Mphasis/ JPMC
Type: Contract
Position Summary
A Data Engineer at CMS is a software engineer with proficiency in data. The data engineer will build and maintain the CMS data warehouse which is used for both reporting and analytics across the company. The individual works cross functionally with technical and business teams to identify opportunities to better leverage data. The data comes from a variety of sources and it is the responsibility of the data engineer to make sense of the data using cloud based systems (AWS) and provide a reliable and structured format to meet the different business needs at CMS.
Duties And Responsibilities
- Collaborate with the team to build out features for the data platform and consolidate data assets
- Build, maintain and optimize data pipelines built using Spark
- Advise, consult, and coach other data professionals on standards and practices
- Work with the team to define company data assets
- Migrate CMS’ data platform into Chase’s environment
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
- Build libraries to standardize how we process data
- Loves to teach and learn, and knows that continuous learning is the cornerstone of every successful engineer
- Has a solid understanding of AWS tools such as EMR or Glue, their pros and cons and is able to intelligently convey such knowledge
- Implement automation on applicable processes
- 5 years of experience in a data engineering position
- Proficiency is Python (or similar) and SQL
- Strong experience building data pipelines with Spark
- Strong verbal & written communication
- Strong analytical and problem solving skills
- Experience with relational datastores, NoSQL datastores and cloud object stores
- Experience building data processing infrastructure in AWS
- Bonus: Experience with infrastructure as code solutions, preferably Terraform
- Bonus: Cloud certification
- Bonus: Production experience with ACID compliant formats such as Hudi, Iceberg or Delta Lake
- Bonus: Familiar with data observability solutions, data governance frameworks
Salary : $45 - $50
