Big Data Engineer
Job Location:
Atlanta, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
| Project Details: | |
| Job Title: | Big Data Engineer |
| Duration: | 06 Months |
| Location: | Sandy Springs Atlanta GA (3 days in a week) |
Must have skills :
- Data Engineering and Integration Expertise Data Governance Security Knowledge Databricks Technical delivery
Good to have skills:
- Data Modeling (Capable)
Job Description :
- Oversee the delivery of data projects including data pipelines warehouses lakes and analytics platforms.
- Collaborate with architects data engineers and data scientists to deliver robust and scalable data solutions.
- Provide hands-on guidance on data modeling ETL/ELT workflows and cloud-based data architectures.
- Develop and execute detailed project plans ensuring timely delivery within scope and budget.
- Manage competing priorities across multiple data delivery streams.
- Drive adherence to Agile or hybrid project management methodologies.
- Stakeholder Engagement Serve as the primary technical liaison between clients and delivery teams for all data-related initiatives.
- Understand client requirements translating business goals into actionable data solutions.
- Conduct regular status updates and stakeholder reviews to ensure alignment and satisfaction.
- Team Coordination Lead onshore and offshore teams to deliver high-quality data solutions.
- Foster a collaborative work environment ensuring effective communication and teamwork.
- Identify and address skill gaps within the team through mentorship or training.
- Data Quality and Governance Implement data governance policies ensuring compliance with standards and regulations.
- Oversee data quality initiatives including validation monitoring and issue resolution.
- Promote the adoption of best practices for data security integrity and privacy. Risk and Issue Management Identify delivery risks and develop mitigation strategies.
- Address technical and operational challenges proactively escalating issues when necessary.
- Reporting and Metrics Track and report on delivery metrics including data accuracy timeliness and system performance.
- Provide regular updates to leadership on project health risks and financials.