Data Engineer Position Available In Fulton, Georgia

Data Engineer Atlanta, GA Direct Hire Hybrid TITLE:

Data Engineer

LOCATION

Atlanta, GA (remote, but could transition to hybrid this year)

POSITION TYPE

Direct Hire Data Engineer Responsibilities:

Design and develop methods to process structured, semi-structured, and unstructured data using batch and real-time processing techniques
Deliver fast, reliable, and scalable data pipelines from files or streaming sources like Kafka, DBMS, and NoSQL
Develop release pipelines to automate tasks such as build packaging, version control, and deployment to DV/UA environments
Build and maintain reusable templates, code libraries, pipeline patterns, and semantic models
Establish gatekeeping processes to monitor and control promotion of data processes into production environments
Collaborate with cross-functional teams including data, business, and technical stakeholders, as well as product owners/managers
Advocate data reusability through modular data product delivery strategies
Ensure data reliability by defining and monitoring data quality and integrity controls within pipelines
Provide technical guidance and oversight to less experienced data engineers
Optimize performance through appropriate cluster usage to parallelize jobs and minimize data movement
Recommend improvements in process, technology, and interfaces to enhance team productivity
Engage in Enterprise Social Networking platforms to stay informed on new data technologies and best practices

Data Engineer Requirements:

Bachelor’s degree in Computer Science, MIS, CIS, Mathematics, Statistics, Machine Learning, or a related field
Proven knowledge of data engineering, data integration, and data science principles
6+ years of relevant experience in data-driven, tech-enabled environments
Working experience with batch and real-time data processing frameworks
Proficient in data modeling, schema design, and data storage techniques
Experience with data quality tools and implementing data integrity controls
Capable of creating functional and technical designs for data engineering and analytics solutions
Experience implementing data models across diverse source types

Data Engineer Preferred Experience:

Hands-on with big data technologies such as Hadoop, HIVE, and Spark
Experience developing and supporting Python-based AI/ML solutions
6+ years with on-premises tools: Microsoft BI Stack (SSIS/SSAS/SSRS), Informatica, Oracle GoldenGate, SQL Server, and Oracle
3+ years with Microsoft cloud tools: Azure Data Lake, Data Factory, Databricks, Synapse, Key Vault, Power BI
Familiarity with containerization (Docker, OpenShift), Agile/DevOps, CI/CD practices
Experience with APIs, web services, and tools like Kafka and Jira Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with the requirements of applicable state and local laws, including but not limited to, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
For immediate consideration, please forward your resume to christy.cifreo@synergishr.com
If you require assistance or an accommodation in the application or employment process, please contact us at christy.cifreo@synergishr.com.

About Synergis:

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Our digital world has accelerated the need for businesses to build IT ecosystems that enable growth and innovation along with enhancing the Total Experience (TX). Synergis partners with our clients at the intersection of talent and transformation to scale their balanced teams of tech, digital and creative professionals.