Database Engineer

Working Model- Hybrid, at least one day a week in the office, and they will need to come in if there is a mandatory meeting.

Local candidates only to Alpharetta GA

10+ years of experience in data engineering.

Design, develop, and maintain new data capabilities and infrastructure for utilizing client, third-party, and partner data to enhance customer data products and solutions

Design, develop, and implement scalable data pipelines and ETL/ELT processes using SSIS, Python and API integrations

Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation

Collaborate with technical team and business stakeholders to understand data requirements and translate them into technical solutions

Work with large datasets, ensuring data quality, accuracy, and performance

Implement data transformation, integration, and validation processes to support analytics and reporting needs

Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency

Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security

Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes

Document data processes, data lineage, and technical specifications for future reference

Review and analyze existing data collection systems, and make recommendations on improvement, maintenance, or other factors to improve the system.

Develop, build, and implement new data collection systems where needed.

Participate in code reviews, ensuring adherence to coding standards and best practices

Collaborate with other teams to automate deployment and monitoring of data pipelines

Proven experience in data engineering, with a strong track record of designing and implementing data solutions

Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (Spark, Hadoop, etc.)

In-depth understanding of data warehousing concepts, cloud platforms (GCP), and data modeling techniques

Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools(SSIS)

Passion for and engagement with emerging trends in data, AI/ML, analytics, and digital experiences

Experience in data product development, analytical models, and model governance ? Experience in anonymizing data and managing the use of data

Experience in data hygiene procedures, identity resolution capabilities or data management a plus

Familiarity with BI technologies (e.g. Microsoft Power BI, Tableau)

Ability to create strategies and plans that define how information can be utilized to support an organization's overall business strategy, and how that information and data is organized, and governed inside an organization

Familiarity with industry best practices for collection and use of data

Outstanding problem-solving skills and the ability to navigate complex data challenges

Proven abilities to take initiative and be innovative ? Analytical mind with a problem-solving aptitude

Effective communication and collaboration skills to work with both technical and non-technical stakeholders MUST HAVE SKILLS: Microsoft SQL Server Microsoft Business Intelligence(SSIS,SSAS & SSRS) Python GCP Data Services TableauEDUCATION/CERTIFICATIONS: ? Bachelor's or Master's degree in Computer Science, Engineering, or a related field ? Microsoft/Oracle SQL, GCP Data Engineer Certification, Tableau Data Analyst Certification

Regards,

Siddhartha (SID) Awasthi, Senior Recruiter, The Judge Group

Suite 100, 151 South Warner Road, Wayne, PA 19087