2 SME DATA Engineer Hybrid Position at Ashburn, VA Jobs in Ashburn, VA
SORT BY
T
S
SME DATA Engineer Hybrid Position at Ashburn, VA
$127k-156k (estimate)
Full Time
2 Weeks Ago
Technogen, Inc. is Hiring a SME DATA Engineer Hybrid Position at Ashburn, VA Near Ashburn, VA
TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years. TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100 projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.I am Kishore from TechnoGen Inc, looking for SME DATA Engineer for one of our clients. Below is the job description for your review.
Please let me know if you would be interested and share your updated resume.
You can reach me kishore.b@technogeninc.com/571-660-1013
Title: SME DATA EngineerLocation: Ashburn, VAJob Type: Contract – HybridDuration: 12 MonthsJob DescriptionPhysical Requirements:
Please let me know if you would be interested and share your updated resume.
You can reach me kishore.b@technogeninc.com/571-660-1013
Title: SME DATA EngineerLocation: Ashburn, VAJob Type: Contract – HybridDuration: 12 MonthsJob DescriptionPhysical Requirements:
- The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations
- Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools
- Extemsive experience with SQL and proficiency in writing complex queries.
- Solid understanding of data warehousing concepts and platforms such as Oracle and cloud-based solutions.
- Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs.
- Demonstrate a strong practical understanding of data warehousing from a production relational database environment.
- Strong experience using analytic functions within Oracle or similar tools within non-relational (MongoDB, Cassandra etc.) database systems.
- Strong understanding of distributed computing principles and experience with frameworks like Apache Spark
- Hands-on-experience with data lake architectures and technologies in a cloud environment.
- Experience with Atlassian suite of tools such as Jira and Confluence
- Knowledge of Continuous Integration & Continuous Development tools (CI/CD)
- Must be able to multitask efficiently and progressively and work comfortably in an ever-changing data environment.
- Must work well in a team environment as well as independently.
- Excellent verbal/written communication and problem-solving skills; ability to communicate information to a variety of groups at different technical skill levels.
- 5 years of experience in developing, maintaining and optimizing complex Oracle PL/SQL packages to aggregate transactional data for consumption by data science/machine learning applications.
- 10 years of experience in working in data engineering, with a focus on building and optimizing data pipelines and architectures. Must have full life cycle experience in design, development, deployment and monitoring.
- Experience with one or more relational database systems such as Oracle, MySQL, Postgres, SQL server, with heavy emphasis on Oracle.
- Extensive experience with cloud platforms (e.g. AWS, Google Cloud, etc) and cloud-based ETL/ELT tools.
- Experience with Amazon services such as S3, Redshift, EMR and Scala.
- Experience with migrating on-prem legacy database objects and data to the Amazon S3 cloud environment.
- Experience or familiarity with data science/machine learning and development experience for supervised and unsupervised learning with structure and unstructured datasets.
- Certifications in relevant technologies (e.g. AWS Certified Big Data, Google Professional Data Engineer) are a plus.
- Design, develop, and maintain scalable data pipelines and architectures to support data extraction, transformation, and loading (ETL/ELT) processes.
- Utilize strong SQL skills to perform complex data transformations and optimize database queries, ensuring high performance and efficiency.
- Building comprehensive datasets by aggregating data sourced from various relational databases, facilitating data analysts and data scientists in creating machine learning models, reports, and dashboards.
- Collaborate with cross-functional teams (data analysts, data scientists, and business stakeholders) to understand business requirements and translate them into technical solutions.
- Assist with the implementation of data migration/pipelines from on-prem to cloud/non-relational storage platforms.
- Leverage distributed computing frameworks like Apache Spark to process large volume of data efficiently.
- Utilizing data analysis, problem-solving, investigative, and creative thinking skills to handle extremely large datasets, transforming them into various formats for diverse analytical products.
- Respond to data queries/analysis requests from various groups within an organization. Create and publish regularly scheduled and/or ad hoc reports as needed.
- Troubleshoot data-related issues, identify root causes, and implement solutions to ensure data integrity and accuracy.
- implement best practices for data governance, security, and quality supporting the core business applications.
- Responsible for data engineering source code control using GitLab.
Job Summary
JOB TYPE
Full Time
SALARY
$127k-156k (estimate)
POST DATE
06/12/2024
EXPIRATION DATE
12/07/2024
WEBSITE
technogeninc.com
HEADQUARTERS
Chantilly, VA
SIZE
100 - 200
Related Companies
Show more
Similar Jobs
Popular Articles
Top 10 Things to Avoid Putting on a Job Application
Read Article
How to Describe Your Education in a Resume
Read Article
How to Write a Memorable Cover Letter in 5 Ways
Read Article
4 Personal Finance Tips to Make During Job Transition
Read Article
4 Best Camera Setups for Interview
Read Article
Keeping a Job Search Journal: 9 Types of Journaling You Can Do
Read Article
