Zealogics Inc provides a broad range of IT and Engineering Services, Systems Implementation and Application Outsourcing Services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across Mechanical, Electronics and Software platforms, to enable clients to navigate their digital transformation. Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products. With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.

Job description

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

Skills Required
7-15 years 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 data engineering team and providing them technical direction.
Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.
ETL coding for development and design practices
Demonstrate good understanding of development processes and agile methodologies.
Demonstrate honesty, integrity, and professionalism at all times
Excellent communication, customer service, and problem-solving skills
Experience with cloud platforms, preferably Azure/AWS, and familiarity with GCP.

Required profile