What are the responsibilities and job description for the Senior Data Engineer position at Pronix Inc?
Job Details
Hello,
Role: Senior Data Engineer
Location: McLean, VA (Hybrid) Local Candidates Only
Duration: 12 Months
Job Type: Contract to Hire
Visas: USC
Location: McLean, VA (Hybrid) Local Candidates Only
Duration: 12 Months
Job Type: Contract to Hire
Visas: USC
Key Skills:Python, R, SQL, Spark, AWS, Snowflake
Candidate's Impact:
* As a Senior Data Engineer, you are expected to work under limited direction and independently determine and develop approaches to solution. Understand requirements and design for the build and deployment.
* Scrum/agile based development and maintain efficient data pipelines and ETL process for large-scale data integration.
* Collaborate with data analysts and other engineer to define data needs and build solution 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.
* Candidate will be a mentor and bring up-to-speed junior resources and consultants on technologies/products that the team works on and Represent and Demonstrate your team's work to customers.
* Will demonstrate your coaching and mentoring skills to help teams continuously grow and improve in delivering high quality software solutions.
* Support line of business areas with more advanced statistical and quantitative analysis.
* Ability to run models, look for exceptions and take corrective actions where necessary.
* Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models.
* Release Support: Work closely with internal/external teams to help with the release process, ensuring smooth and error-free releases to production.
* Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations.
* As a Senior Data Engineer, you are expected to work under limited direction and independently determine and develop approaches to solution. Understand requirements and design for the build and deployment.
* Scrum/agile based development and maintain efficient data pipelines and ETL process for large-scale data integration.
* Collaborate with data analysts and other engineer to define data needs and build solution 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.
* Candidate will be a mentor and bring up-to-speed junior resources and consultants on technologies/products that the team works on and Represent and Demonstrate your team's work to customers.
* Will demonstrate your coaching and mentoring skills to help teams continuously grow and improve in delivering high quality software solutions.
* Support line of business areas with more advanced statistical and quantitative analysis.
* Ability to run models, look for exceptions and take corrective actions where necessary.
* Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models.
* Release Support: Work closely with internal/external teams to help with the release process, ensuring smooth and error-free releases to production.
* Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations.
Qualifications:
* Bachelor's degree in computer science or related discipline; advanced Studies/ Degree preferred.
* 5 to 7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java).
* Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).
* Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs
* Experience with cloud platform AWS (EMR, EKS, Lambda).
* Experience writing statistical and/or optimization programs to develop models and algorithms.
* 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
* Experience with RESTful API design and development.
* Familiarity with PySpark for large-scale data processing and analysis.
* Bachelor's degree in computer science or related discipline; advanced Studies/ Degree preferred.
* 5 to 7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java).
* Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).
* Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs
* Experience with cloud platform AWS (EMR, EKS, Lambda).
* Experience writing statistical and/or optimization programs to develop models and algorithms.
* 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
* Experience with RESTful API design and development.
* Familiarity with PySpark for large-scale data processing and analysis.
If you're interested, please share your resume to or call me on
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