Senior Data Engineering Lead
2 days ago
Job Description:
We are seeking a highly skilled Senior Data Engineering Lead to join our team at Pyramid Consulting, Inc. in McLean, VA (Hybrid). This is a 06+ Months Contract opportunity with long-term potential.
About the Role:
- Design and implement various data governance solutions that run as cohesive units within the overall data platform strategy.
- Become a pioneering technology leader to solve business challenges and delight our customers.
- Collaborate with other IT teams to advance technical capabilities.
- Work to automate and optimize processes and technologies.
Key Responsibilities:
- Work under limited direction and independently determine and develop approaches to solutions.
- Understand requirements and design for build and deployment.
- Maintain efficient data pipelines and ETL process for large-scale data integration.
- Collaborate with data analysts and engineers to define data needs and build solutions that drive business insights.
- Develop, test, and deploy code for data extraction, transformation, and loading processes (ETL/ELT).
- Develop and maintain automated test scripts using Pytest to ensure high-quality software releases.
- Mentor junior resources and consultants on technologies/products.
- Demonstrate coaching and mentoring skills to help teams continuously grow and improve.
- Support line of business areas with advanced statistical and quantitative analysis.
- Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development.
- Release Support: Work closely with internal/external teams to ensure smooth and error-free releases to production.
- Interact directly with customers to gather feedback, troubleshoot issues, and ensure product meets expectations.
Requirements and Technology Experience:
- Proficiency in Python, R, SQL, ETL.
- Bachelor's degree in computer science or related discipline; advanced studies/degree preferred.
- 5-7 years of experience in data engineering with strong proficiency in Python programming language.
- Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs.
- Experience with cloud platform AWS (EMR, EKS, Lambda).
- Programming languages may include but are not limited to-Python, R.
- Solid understanding of SDLC practices including development, testing, and release management.
- Experience with version control systems such as Git, BitBucket.
- Familiarity with PySpark for large-scale data processing and analysis.
- Pyspark, spark, sql knowledge.
Salary Range: $70-$75 per hour. Employee benefits include health insurance, 401(k) plan, paid sick leave.
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