Sr. Data Engineer - On Site - Dallas/Fort Worth Candidates Only

Category:

Analytics BI & AI

Employment Type:

Direct Hire

Reference:

BH-384574

Please send updated resumes directly to jason.tompkins@yoh.com
Jason Tompkins, Recruiter, Yoh SPG
https://www.linkedin.com/in/jatompkins/

Candidates must be local to the Dallas/Fort Worth area
On Site Monday through Friday
No 3rd Parties
The employer will not be sponsoring visa applicants for this position

Position Summary:
The Senior Data Engineer will join our Data Engineering team, responsible for delivering a big data platform, large-scale data pipelines, and streaming systems in the cloud. This role also involves developing strategies to improve the efficiency of these processes over time.
Duties and Responsibilities:

• Construct business-facing datasets from various sources, both internal and external, to enable and perform analysis based on requests from project teams or senior leadership.
• Break down business opportunities to identify datasets that align with organizational needs from a business perspective.
• Integrate data from multiple sources or functional areas, evaluate data quality, and transform data as needed.
• Analyze and interpret data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.
• Maintain a growth-oriented mindset with a strong desire to learn and stay current on best practices and emerging capabilities in data analysis.
• Collaborate with cross-functional teams to extract, transform, and load (ETL) data according to requirements and design. Identify, recommend, and implement ETL process and architecture improvements.
• Demonstrate good knowledge of data collection methods, data models, and types, and own the transformation process.
• Own the data warehousing process from end-to-end.

• Bachelor's degree or equivalent years of experience.
• 5-7+ years of hands-on data engineering experience.
• Strong understanding of AWS data services such as S3, DynamoDB, RDS, Kinesis, Redshift, Glue, and Athena.
• Strong programming skills in Python, C#, or a language for processing data.
• Proficiency in SQL and NoSQL databases.
• Knowledge of data governance and data security best practices.
• Experience with big data and an understanding of how to organize it using industry standards.
• Strong communication and problem-solving skills.
• Experience with infrastructure-as-code tools such as Terraform.
• Familiarity with DevOps methodologies and tools such as Git, AWS CodePipeline, and containerization.
• Strong understanding of networking, security, and PII governance concepts.
• Experience in the automotive industry (TPAs/DMS/CAS systems) is a plus.
• Experience in an Agile/Waterfall team preferred.