Data Engineering Architect - ETL/Data Warehousing (9-15 yrs)

Experience : 12-15 years of experience

Qualifications : Bachelor's degree, preferably B.E / B. Tech

Technical Skills :

- Excellent communication and problem-solving skills.

- Experience of management of data and analytics projects

- Proficiency in team management, project management

- Strong experience in client facing roles

- Highly proficient in Project Management principles, methods, techniques, and tools

- Should have a strong understanding of big data solutions and analytical techniques

- Hands on experience in ETL process, performance optimization techniques are a must

- Candidate should have taken part in Architecture design and discussion

- Ability to set good goals and objectives and write reviews for team members

- Minimum of 7 years of experience in working with batch processing/ real-time systems

- Minimum of 7 years of experience working in Datawarehouse or Data Lake Projects in a role beyond just Data consumption.

- Minimum of 4 years of extensive working knowledge in AWS building scalable solutions and equivalent level of experience in Azure or Google Cloud is also acceptable

- Minimum of 4 years of experience in programming languages (preferably Python)

- Experience in Pharma Domain will be a very Big Plus.

- Familiar with tools like Git, Code Commit, Jenkins, Code Pipeline

- Familiar with Unix/Linux and Shell Scripting

Additional Skills :

- Exposure to Pharma and life sciences would be an added advantage.

- Certified in any cloud technologies like AWS, GCP, Azure.