Technical Skills: Proficiency in data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop). Strong understanding of data warehousing, ETL processes, and data modeling.
Project Management: Experience with project management methodologies (e.g., Agile, Scrum) and tools (e.g., Jira, Trello).
Leadership: Proven ability to lead and motivate a team, manage performance, and foster a positive work environment.
Communication: Excellent verbal and written communication skills. Ability to articulate complex technical concepts to non-technical stakeholders.
Problem-Solving: Strong analytical and problem-solving skills. Ability to think strategically and develop innovative solutions.
Certifications: Project Management Professional (PMP), Certified ScrumMaster (CSM), or relevant data engineering certifications are a plus.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
Knowledge of data governance and compliance standards.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Working Model – Hybrid.
Primary Skills:
Technical Skills: Proficiency in data engineering tools and technologies
(e.g., SQL, Python, Spark, Hadoop). Strong understanding of data warehousing,
ETL processes, and data modeling.
No of Position: 1
Experience Range: 15-25 years
Budget: 40 LPA
