Major Duties And Responsibilities

Data Engineer

Location:

Greenwood Village, CO / Remote, Duration: long term opportunity. Client:
Charter Communications
- Denver Visa Restrictions:
No OPT, CPT & H1b Sub Vending:
No Pay Rate: $50 - $53/Hr on W2 without benefits Bill Rate: $75

Candidate must be authorized to work without sponsorship. Candidate must have a public profile.

This role is a long term, almost 2 year contract. It is 100% remote. However, if someone wants to go full time, they will need to relocate to one of 5 cities. In order to be eligible for this role, consultant must be authorized to work in US without sponsorship now or in the future. Candidates will be required to do a coding exercise on their own prior to an interview.

It will be a 1 and done interview.

Required Skills:

Candidates must be very strong as a Data Engineer
- Design, develop, and maintain scalable ETL pipelines Must be strong in Python and Scala and have work with Big Data Tools very good communication

- Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability
- Implement monitoring and alerting solutions to ensure data pipeline reliability and performance
- Develop and manage deployment pipelines to facilitate continuous integration and delivery of data engineering solutions
- Document and communicate data engineering processes and standards to business-intelligence, data, and analytics professionals with varied backgrounds Continuously evaluate and improve data engineering tools and approaches to enhance performance and efficiency

- Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python

- Experience with Big Data tools, particularly Spark, and familiarity with Hadoop ecosystems
- Proficiency in building and managing ETL pipelines

- Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR
- Strong understanding of relational databases and SQL, and familiarity with No

SQL databases
- Knowledge of data architecture, data warehousing, and data marts
- Experience in implementing monitoring solutions and deployment pipelines for data applications
- Ability to work with distributed systems and manage data storage solutions Demonstrated ability and desire to continually expand skill set, and learn from and teach others