Data Engineer Hybrid
Data Engineer Hybrid
Posted on :
16-03-2025
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1 Vacancy
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Job Description
Job Title: Data Engineer (Hybrid)
Location: Durham NC
Duration: 12 Months
Job Description:
The client requires the assistance of a contract resource to serve as a Senior Data Engineer. The primary purpose of this position is to support the development implementation and future maintenance of the new Child Welfare System. This role will be instrumental in data conversion activities from the existing legacy systems and counties to the new Salesforce platform.
Key Responsibilities:
Skills:
Skill Required/Desired Amount of Experience Experience with Data Engineering 5 Years Experience with SQL 8 Years Experience with data modeling 4 Years Experience with data warehousing 4 Years Experience building ETL/ELT pipelines 4 Years Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS 3 Years Experience with AWS and / or Azure technologies like Redshift S3 Lambda Synapse Azure DevOps Desired 2 Years Experience with nonrelational databases / data stories (object storage document or keyvalue stores graph databases columnfamily databases) Desired 3 Years Experience with big data technologies such as Spark Databricks Snowflake Hadoop or similar Desired 3 Years Experience with DevOps and CI/CD (Git and automation tools) Desired 5 Years
Location: Durham NC
Duration: 12 Months
Job Description:
The client requires the assistance of a contract resource to serve as a Senior Data Engineer. The primary purpose of this position is to support the development implementation and future maintenance of the new Child Welfare System. This role will be instrumental in data conversion activities from the existing legacy systems and counties to the new Salesforce platform.
Key Responsibilities:
- Learn and understand a broad range of clients data resources and their business application domains.
- Drive digital transformation initiatives across the program.
- Recognize and adopt best practices in data transformation: data integrity test design analysis validation and documentation.
- Design implement and support a platform providing secured access to large datasets.
- Own the design development and maintenance of ongoing metrics reports analyses dashboards etc. to drive key business decisions.
- Provide advanced data support to data engineering and ETL teams.
- Extract and evaluate data to ensure accurate mapping for enduser consumption.
- Collaborate with technical support teams and business process owners to ensure seamless operations service delivery.
- Develop processes and procedures to enhance the quality and efficiency of quality control checks in the production environment.
- Create and implement plans to improve data quality by identifying causes of errors or discrepancies and devising effective solutions.
- Establish robust procedures for data collection and analysis.
- Programmatically manipulate and analyze large datasets build data pipelines and automate tasks.
- Design and maintain efficient data processing flows.
- Support test readiness reviews test planning work groups and pre and posttest briefings.
- Communicate issues effectively in writing and orally to executive audiences business stakeholders and technical teams.
- Support the technical and operational architecture of complex enterprise systems.
- Tune application and query performance using profiling tools and SQL.
- Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using Azure and / or AWS / public cloud tools.
Skills:
Required Experience:
Senior IC
Employment Type
Contract
Key Skills
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