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Senior Data Engineer
4 days ago
Remote | ContractualExperience:
5+ years
Key Skills: MandatoryPythonPysparkAWS GlueRedshiftAmazon S3
Key Skills: Good To HaveSnowflakeAirflow
Key Responsibilities:Lead the design, development, and maintenance of scalable data pipelines using Python, PySpark, AWS Glue, and SQL technologies.Architect and optimize data models for efficient storage and retrieval using Redshift and Athena.Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.Mentor and guide junior members of the data engineering team, providing technical leadership and support.Ensure data quality and integrity by implementing best practices for data governance and validation.Stay up-to-date with emerging technologies and industry trends in data engineering and analytics.Qualifications:Bachelor's or Master's degree in Computer Science, Engineering, or related field.5+ years of experience in data engineering, with a strong focus on building and optimizing data pipelines.Proficiency in Python, PySpark, SQL, AWS Glue, Redshift, and Athena.Experience with data modeling, ETL processes, and data warehousing concepts.Strong problem-solving skills and ability to troubleshoot complex data issues.Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.Prior experience in a leadership or mentorship role is preferred.
If you're ready to take the next step in your data engineering career and make a meaningful contribution to our team, we want to hear from you Apply now to join us as a Lead Data Engineer.
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