Location: Georgia, USA
Experience Required: 12+ Years
Job Summary
We are seeking a highly experienced
Data Engineer with
12+ years of experience in designing, developing, and maintaining enterprise-scale data platforms, ETL/ELT pipelines, and cloud-based data solutions. The ideal candidate will have strong expertise in modern data engineering technologies and large-scale data processing.
Required Skills
- 12+ years of experience in Data Engineering and Data Warehousing
- Strong programming skills in Python, PySpark, and SQL
- Extensive experience with Databricks and Apache Spark
- Hands-on experience with Azure Data Factory (ADF), Informatica, SSIS, or similar ETL tools
- Expertise in Snowflake, Azure Synapse, Redshift, or BigQuery
- Experience with Azure, AWS, or Google Cloud Platform cloud platforms
- Strong knowledge of Data Lakes, Delta Lake, and Lakehouse Architecture
- Experience with Kafka, Event Hubs, or streaming technologies
- CI/CD, Git, DevOps, and automation experience
- Strong understanding of Data Modeling, Data Governance, and Data Quality
< data-start="1161" data-end="1182">Responsibilities
- Design and implement scalable data pipelines and ETL/ELT solutions.
- Develop and optimize batch and real-time data processing frameworks.
- Build and maintain cloud-native data platforms and lakehouse solutions.
- Integrate data from multiple enterprise and third-party sources.
- Ensure data quality, security, governance, and compliance standards.
- Collaborate with business stakeholders, architects, and analytics teams.
- Monitor, troubleshoot, and optimize data workflows and performance.
- Mentor team members and contribute to architecture and best practices.
< data-start="1755" data-end="1784">Preferred Qualifications
- Experience with Delta Lake and Medallion Architecture.
- Exposure to AI/ML data pipelines and advanced analytics environments.
- Azure, AWS, Databricks, or Snowflake certifications preferred.
- Experience in Finance, Healthcare, Retail, Telecom, or Insurance domains.
< data-start="2056" data-end="2070">Education
- Bachelor''s or Master''s degree in Computer Science, Information Systems, Engineering, or related field.
