Gurugram, Haryana, India
Information Technology
Full-Time
PepsiCo India
Overview
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Overview
Primary focus would be to lead development work within Azure Data Lake environment and other related ETL technologies, with the responsibility of ensuring on time and on budget delivery; Satisfying project requirements, while adhering to enterprise architecture standards. This role will also have L3 responsibilities for ETL processes
Responsibilities
Experience
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- Hyderabad, India
- IT
- 369721
- Yes - Standard
- Yes
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Overview
Primary focus would be to lead development work within Azure Data Lake environment and other related ETL technologies, with the responsibility of ensuring on time and on budget delivery; Satisfying project requirements, while adhering to enterprise architecture standards. This role will also have L3 responsibilities for ETL processes
Responsibilities
- Delivery of key Enterprise Data Warehouse and Azure Data Lake projects within time and budget
- Contribute to solution design and build to ensure scalability, performance and reuse of data and other components
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards.
- Possess strong problem-solving abilities with a focus on managing to business outcomes through collaboration with multiple internal and external parties
- Enthusiastic, willing, able to learn and continuously develop skills and techniques – enjoys change and seeks continuous improvement
- A clear communicator both written and verbal with good presentational skills, fluent and proficient in the English language
- Customer focused and a team player
Experience
- Bachelor’s degree in Computer Science, MIS, Business Management, or related field
- 3+ years’ experience in Information Technology
- 1+ years’ experience in Azure Data Lake
- Proven experience development activities in Data, BI or Analytics projects
- Solutions Delivery experience - knowledge of system development lifecycle, integration, and sustainability
- Strong knowledge of Teradata architecture and SQL
- Good knowledge of Azure data factory or Databricks
- Knowledge of Presto / Denodo / Infoworks is desirable
- Knowledge of data warehousing concepts and data catalog tools (Alation)
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