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Responsibilities:
Experience in building high quality applications, data pipelines, and analytics solutions ensuring data privacy and regulatory compliance.
Provide ongoing support for the existing ETL processes and procedures, as well as the ability to design, code, and deploy new ETL pipelines to support application and business needs.
Develop effective working relationships with Data Analysts, Data Architects, Database Administrators, and others in designing, developing, and implementing robust data management solutions.
Demonstrate the ability to translate business rules into ETL code while adhering to best ETL development and design practices.
Skills Required:
7-15 years of experience in data science or data analytics.
Experience in reviewing and building dimensional data models to improve accessibility, efficiency, and quality of data.
Experience in leading, hiring, developing, and building a data engineering team and providing them technical direction.
Proficient in writing Advanced SQLs and expertise in performance tuning of SQLs.
Demonstrate a good understanding of development processes and agile methodologies.
Excellent communication, customer service, and problem-solving skills.
Experience with cloud platforms, preferably Azure/AWS, and familiarity with GCP.
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