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Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformHadoopKafkaPythonSparkSQL
About the role
Key responsibilities & impact- Design, develop, and implement data solutions to derive actionable insights.
- Guide a team of data engineers and collaborate with cross-functional teams.
- Gather and process raw, structured, semi-structured and unstructured data.
- Implement CI/CD pipelines for automating data solutions delivery.
- Collaborate with data scientists and analysts to translate business requirements into technical solutions.
- Ensure data integrity and performance through modeling techniques.
Requirements
What you’ll need- Bachelor’s or master’s degree in computer science, Engineering, or a related field.
- Proven experience (8+) in a data engineering role.
- Strong proficiency in SQL, Python and Spark programming languages.
- Strong experience with cloud platforms such as AWS, Azure, or GCP is a must.
- Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
- Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices.
- Relevant certifications (e.g., Azure, databricks, snowflake) would be a plus.
Benefits
Comp & perks- Equal Opportunity Employer
- Compliance with the ADA and local disability laws
- Reasonable accommodation for applicants with disabilities
- Professional development opportunities.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonSparkHadoopKafkadata modelingdata warehousingdata managementCI/CDbig data technologies
Soft Skills
team leadershipcollaborationcommunicationproblem-solvinganalytical thinking
Certifications
Azuredatabrickssnowflake
