AWS Data Engineering Consultant

Job Description

Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Engineer. You should have between 3 to 10 years of Data Engineering experience. Successful candidates will be part of a specialized customer-facing Advanced Analytics team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions. You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge. Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation. Responsibilities: You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing You will be confronted with a large variety of Data Engineer tools and other new technologies as well with a wide variety of IT, compliance, security related issues. Design and develop world-class technology solutions to solve business problems across multiple client engagements. Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions. Work closely with AI and A team to build world-class solutions and to define AI strategy. You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions. Strong verbal, written and presentation skills Requirements: 3 ? 10 years of strong python or Java data engineering experience Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc, on AWS. Experience in developing ETL, OLAP based and Analytical Applications. Experience in ingesting batch and streaming data from various data sources. Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.) Ability to quickly learn and develop expertise in existing highly complex applications and architectures. Exposure to AWS platform's data services (AWS Lambda, Glue, Athena, Redshift, Kinesis etc.) Experience in Airflow DAGS, AWS EMR, S3, IAM and other services Experience working on Test cases using pytest/ unit test or any other framework. Snowflake or Redshift data warehouses Experience of DevOps and CD/CD tools. Familiarity with Rest APIs Clear and precise communication skills Experience with CI/CD pipelines, branching strategies, & GIT for code management Comfortable working in Agile projects Bachelor's degree in computer science, information technology, or a similar field Locations Offered: Bengaluru, Hyderabad, Chennai, Noida, Gurgaon, Chandigarh, Pune, Navi Mumbai, Indore, Kolkata, Bhubaneswar, Mysuru, Trivandrum