No of Positions: 2
Location: Bengaluru
Tentative Start Date: May 17, 2022
Work From : Offsite
Rate : $ 8 - 18 (Hourly)
Experience : 4 to 6 Year
Role :
• Relevant Exp. 3+ years into Data Engineering
• Experience developing in the AWS platform using Lambda, API Gateway, and Python (data processing)
• Experience developing Data pipelines (any ETL tool, preferred Matillion)
• Experience developing solutions using AWS Cloud-based data platforms.
• Experience providing support to direct end-users and troubleshooting operational issues
• Experience with data extraction and analysis using complex SQL
• Experience working with multiple disparate data sources
• Experience leading the large-scale enterprise-level implementation of BI projects
• Excellent written and oral communication skills
• Understanding of data Extraction, Transformation, and Load (ETL) process design and management
• Passion to learn new technology
• Strong conceptual, analytical, and problem-solving abilities
• The ability to prioritize, organize and coordinate simultaneous tasks/projects
• Strong interpersonal and communication skills
• The ability to work directly with customers to solve data accessibility needs
• The ability to work in iterative development and delivery model
• Experience with AWS Cloud data platforms
• Added advantage of having experience in Snowflake, Tableau, Alteryx, Power BI
Responsibilities:
• Code build, review and mentor other data engineers
• Working with Business Systems Analysts, and directly with data consumers to develop data solutions for acquiring, managing, and publishing data
• Partnering and collaborating with a diverse IT team including business analysts, architects, developers, or vendors
to create or optimize innovative technologies and solutions
• Design and create processes for contextualizing, cleaning, aggregating, and transforming data, making it better
and more useful to the business
• Understanding data infrastructure/technology landscape
• Decompose high-level business needs into functional needs by understanding problems and determining data needs.
• Present information to senior leaders
• Manages the backend of the environment and supports the stability of the environment
• Support of Data flow and connection points upstream and downstream
• Work with customers to develop enhancements for established reports