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1 week ago
We are seeking a seasoned data architect to lead the design and development of high-performance data pipelines utilizing cutting-edge cloud services. The ideal candidate will have expertise in AWS and Databricks, ensuring seamless data availability for analytics, AI/ML, and business intelligence applications.
About the Position:- Lead the development of scalable data pipelines using AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, Athena) and Databricks.
- Design and optimize ETL/ELT processes for large-scale datasets.
- Collaborate with data scientists, analysts, and stakeholders to deliver reliable data solutions.
- Implement data governance and monitoring frameworks.
The successful candidate will possess 7+ years of experience in data architecture, with hands-on expertise in AWS cloud services, Databricks, Python, SQL, and data modeling.
Required Skills:- Expertise in AWS cloud services (S3, Redshift, Glue, EMR, Lambda, Kinesis, Athena)
- Proficiency in Databricks for advanced analytics and machine learning workloads
- Strong understanding of data modeling and data governance
- Experience with Python and SQL programming languages
This role offers an exciting opportunity to work on high-profile projects and collaborate with cross-functional teams to drive business growth.
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