Data Engineer - IICS, AI, and Databricks
Pune, Maharashtra, India · Full Time
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- Experience
- 4–9 yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 hours ago
- Work mode
- In office
- Education
- Any graduate
- Eligibility
- Candidates who have completed any graduate degree are encouraged to apply.
- Resume
- Required to apply
Where you'll work
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Job description
Role Overview
We are seeking an experienced Data Engineer proficient in designing and implementing data solutions with Azure Databricks and Informatica Intelligent Cloud Services (IICS). The candidate will work closely with cross-functional teams to deliver comprehensive analytics projects, extract actionable insights from data, improve data processing workflows, and mentor junior engineers. Commitment to maintaining data governance and security standards is essential.
Key Responsibilities
- Develop and architect data engineering solutions utilizing Azure Databricks and IICS platforms.
- Partner with diverse teams to successfully execute analytics initiatives.
- Perform thorough data analysis to derive valuable, actionable intelligence for clients.
- Optimize data workflows to enhance operational efficiency.
- Guide and support junior data engineering staff in their assignments.
- Keep current with emerging trends and advances in data engineering technologies.
- Ensure strict compliance with data governance policies and security protocols.
- Lead training sessions promoting best practices in data management.
Candidate Requirements
- Bachelor’s degree in Engineering, MCA, M.Sc, M.E, M.Tech, or MBA.
- Experience ranging from 4 to 9 years in data engineering or related disciplines.
- Excellent verbal and written communication skills in English.
Preferred Qualifications
- Certifications related to Azure or Databricks platforms.
- Strong expertise in cloud computing with a focus on Azure and effective data engineering solutions.
- Demonstrated ability in planning and organizing projects efficiently.
- Experience leading cloud development initiatives within agile teams.
- Comprehensive understanding of data management principles and data modeling techniques.
- Proficiency in SQL and advanced data extraction methods.
- Experience using big data tools and frameworks such as Hadoop and Spark.
- Familiarity with application DevOps practices and tools.
Minimum education
Bachelor's Degree
Industry
Professional Services