EY EY-GDS Consulting-AI DATA-Python Data Eng-Senior 

India, West Bengal, Kolkata 

784976098

Job Description

This position report to and receive strategic direction from the Tech Delivery Lead.

How you will contribute:

• Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity.
• Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment.
• Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity.
• Implement processes and systems to provide accurate and available data to key stakeholders, downstream systems, and business processes.
• Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
• Mentor and coach junior Data Engineers on data standards and practices, promoting the values of learning and growth.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions.

Minimum Requirements/Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related field
• 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development
• Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines
• Proven track record of designing and implementing complex data solutions
• Demonstrated understanding and experience using:
  • Data Engineering Programming Languages (i.e., Python)
  • Distributed Data Technologies (e.g., Pyspark)
  • Cloud platform deployment and tools (e.g., Kubernetes)
  • Relational SQL databases
  • DevOps and continuous integration
  • AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
  • Databricks/ETL
  • IICS/DMS
  • GitHub
  • Event Bridge, Tidal
• Understanding of database architecture and administration
• Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
• Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals
• Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions
• Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
• Strong problem solving and troubleshooting skills
• Ability to work in a fast-paced environment and adapt to changing business priorities

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