Data Engineer

• Understanding multiple data sources like XMLs, Relational, CSV, Txt, and Excel to feed into Data Lake. ·
• Work with technical and business stakeholders to understand the data sources, ingestion, movement, structures, and processes in existing data warehouses to be able to generate requirements and designs.·
• Mentoring the team on big data tool and technologies and helping them in all technical aspects including best practices.

Qualifications:

• 5+ years

Tools:

• Strong knowledge of GCP, Looker, SQL, Python, Java, SQL, Shell Scripting.
• Minimum 3-5 years experience in relevant technologies·
• Experience in Healthcare (preferred) ·
• Minimum 8 years experience in IT industry.

Education:

• Bachelor/Master of Computer Application or equivalent engineering/IT degree from an accredited University.
• Should have complete hands on all above tool and technologies. ·
• Extracting data from Data Lake and feeding into Data warehouse and vice versa. ·
• Extraction of data incrementally and full load as per requirements. · Follow configuration and change management process. ·
• Ability to solve problems with data ·
• Working with cloud computing environments ·
• Tune solutions to improve performance and end-user experience · Contribute to group k
• Knowledge sharing platforms and best practice ·
• High attention to data accuracy ·
• Ability to work in an agile team ·
• Critical thinking to ask questions, determine best course and offer solutions
• Effective analytical and decision-making skills
• Strong interpersonal skills to build relationships and communicate effectively with managers, co-workers and Business
• Teamwork skills within the department and on project teams ·
• Demonstrated ability to work effectively in a fast-paced, complex, and dynamic business environment ·
• Enjoy being challenged and to solve complex problems on a daily basis