Description
Roles and Responsibilites
• Managing the entire development lifecycle, from requirements gathering to deployment and maintenance
• Developing and implementing analytics strategies and roadmaps
• Collaborating with senior business leaders to align analytics initiatives with business goals
• Identifying and evaluating new technologies and trends
• Leading large-scale data engineering projects and managing cross-functional teams
• Setting technical direction and driving innovation in data infrastructure and analytics solutions
• Developing and implementing data architecture and modeling standards and best practices
• Collaborating with executive leadership to align data infrastructure and analytics initiatives with business goals
Primary Skills
Strong experience in leading large-scale data projects
In-depth understanding of data governance, data architecture, and data modeling
Strong business acumen and ability to translate business requirements into technical solutions.
Extensive experience in data engineering and data architecture at scale
In-depth understanding of data security, privacy, and compliance requirements
Strong business acumen and ability to translate business requirements into technical solutions.
Experience with data storage and retrieval technologies, SQL and NoSQL
Experience with data processing frameworks such as Snowflake, Databricks or Apache Spark
"Bachelor's degree in Computer Science, Information Systems, Business Management (desirable)
or specialized training/certification (at least 1 year)
or equivalent work experience" (at least 10 years)
Typically requires 7-10 years’ of related technical experience
Secondary Skills
Proven track record in developing and implementing successful analytics strategies
Experience with modern data platforms and technologies such as serverless computing, containerization, and microservices
Experience with cloud-based data platforms such as AWS, GCP, or Azure
: India-Maharashtra-Pune
Experience Required (In Years): Minimum- 7 Maximum- 10