Data Engineer (AWS & Python)

Role: Data Engineer

Experience: 5+ Years

Location: Pune, Gurgaon & Bangalore Hybrid

Shift Time: 12:00 PM - 10:00 PM

Must have:

• Experience working in AWS, Redshift, Python
• Prior exposure to Data Ingestion and Curation work (such as working with Data Lakehouse)
• Knowledge in SQL for purpose of data analysis/investigation
• Help and support the Data Product Owner) to manage and deliver on the product technical roadmap
• Ability to digest and understand what the data is, how it is derived, meaning/context around the data itself and how the data fits into NFLs data model
• Working knowledge of Confluence and JIRA

Good to have:

• Masters degree in computer science, statistics, or related discipline 
• 5+ years as a data/business analyst or business intelligence developer/analytics engineer 
• Proficiency and/or certification in Cloud Data Technologies
• Hands on experience on API Integration and One Trust
• Comfortable making decisions and leading 
• Familiar with version control and relational databases 
• Superior communication skills both oral and written 
• Positive contributor, strong team member, loves to work with and empower others 
• Collaborates with a team 
• Time management skills 
• Project management skills 

Responsibilities:

• Develop data pipeline using python, SQL on AWS platform.
• Document and capture the use cases, business logics/rules for the assigned data domains and also working with Data Analyst and Data Product Owners across domains to ensure alignment across the entire data platform.
• Gather and capture the technical specifications for the incorporation of a variety of data sources into the model and working with internal and external partners and vendor to understand and capture the integration method and pattern.
• Ensure Specifications covers various aspect of how to integrate the data including any transformations/logics required for data validation, standardizations, curations and reporting to fulfil the relevant use cases
• Work with internal stakeholders to define and capture any fulfilment requirements such as outbound data deliveries, reporting and metrics.
• Provide support during UAT and release management tasks such as smoke testing against requirements.
• Prioritize to manage ad-hoc requests in parallel with ongoing sprints
• Participate with the team to execute sound solutions and approaches to meet business expectations in an efficient manner; Work with Data Engineers, Data Architects, Data Governance and QA to create and review the pipelines, data ingestion, storage, wrangling, cataloguing, quality, curation of various data sources.
• Work with the Data Product Owners to help manage and deliver on the product technical roadmap for the data platform
• Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
• Work with the Data Product Owners to help manage and deliver on the product technical roadmap for the data platform

Education:

Every individual comes with a different set of skills and qualities so even if you dont tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow!