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SME DATA Engineer Hybrid Position at Ashburn, VA
4 months ago
Hi,
I am Mohammad Kashif Ali Senior Talent Acquisition Specialist with TechnoGenInc, we are looking to hire a Talented Professional with below skill-set to work with one of our clients and came across your profile and wondering if you might interested or exploring the job market, if so, Please share me your resume at kashif.a@technogeninc.com
Title: SME DATA Engineer
Location: Ashburn, VA
Job Type: Contract Hybrid
Duration: 12+ Months
Job Description
Physical Requirements:
- The person in this position needs to occasionally move about inside the office to access file cabinets, and office machinery, or to communicate with coworkers, management, and customers, which may involve delivering presentations
Basic Qualifications:
- 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.
Preferred Qualifications:
- 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.
Responsibilities include, but are not limited to:
- 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.
Sr. Talent Acquisition Specialist
Email: kashif.a@technogeninc.com
