Program Manager

eClerx

10 - 15 years

12 - 16 Lacs

mumbai

Posted:None| Platform:

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Skills Required

azure data lake data management azure cloud data bricks etl process hive python project management technical leadership program management data warehousing azure data factory sql data quality partnerships spark hadoop etl ssis engineering projects

Work Mode

Work from Office

Job Type

Full Time

Job Description

The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, the candidate must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of >

Associate Program Manager Role and responsibilities:

Represent eClerx in client pitches, external forums, and COE (Center of Excellence) activities to promote cloud engineering expertise.
Lead research, assessments, and development of best practices to keep our cloud engineering solutions at the forefront of technology.
Contribute to the growth of the cloud engineering practice through thought leadership, including the creation of white papers and articles.
Lead and collaborate on multi-discipline assessments at client sites to identify new cloud-based opportunities.
Provide technical leadership in the design and development of robust, scalable cloud architectures.
Drive key cloud engineering projects, ensuring high performance, scalability, and adherence to best practices.
Design and implement data architectures that address performance, scalability, and data latency requirements.
Lead the development of cloud-based solutions, ensuring they are scalable, robust, and aligned with business needs.
Anticipate and mitigate data bottlenecks, proposing strategies to enhance data processing efficiency.
Provide mentorship and technical guidance to junior team members.

Technical and Functional skills:

Bachelors with 10+ years of experience in data management and cloud engineering.
Proven experience in at least 2-3 large-scale cloud implementations within industries such as Retail, Manufacturing, or Technology.
Expertise in Azure Cloud, Azure Data Lake, Databricks, Teradata, and ETL technologies.
Strong problem-solving skills with a focus on performance optimization and data quality.
Ability to collaborate effectively with analysts, subject matter experts, and external partners.

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