Data Scientist

April 3

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Logo of Zealogics Inc

Zealogics Inc

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

IT consulting β€’ Systems Implementation β€’ IT & Engineering Staffing β€’ Mechanical Engineering β€’ Electronics Engineering

πŸ“‹ Description

β€’ Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security β€’ Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance. β€’ Proficiency in other software engineering languages and/or methodologies β€’ Strong proficiency in Python, SQL, Jupyter/Colab notebooks β€’ Provide ongoing support for the existing ETL processes, procedures, as well as the ability to design, code and deploy new ETL pipelines to support application and business needs. β€’ Develop an effective working relationship with Data Analysts, Data Architects, Database Administrators, and others in designing, developing, and implementing robust data management solutions. β€’ Strong understanding of SQL/NoSQL unstructured and structured data. β€’ Demonstrate the ability to translate business rules into ETL code while adhering to best ETL development and design practices. β€’ Demonstrate proficiency in SQL language, as well as working knowledge of common transformation methodologies, techniques, and tools.

🎯 Requirements

β€’ 7-15 years experience in data science or data analytics. β€’ Experience in reviewing and building dimensional data models to improve accessibility, efficiency and quality of data β€’ Experience in leading, hiring, developing, and building data engineering team and providing them technical direction. β€’ Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs. β€’ ETL coding for development and design practices β€’ Demonstrate good understanding of development processes and agile methodologies. β€’ Demonstrate honesty, integrity, and professionalism at all times β€’ Excellent communication, customer service, and problem-solving skills β€’ Experience with cloud platforms, preferably Azure/AWS, and familiarity with GCP.

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