AWS Data Engineering & Design
Job Description
Job Description
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.
Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Short Description: AWS Data Engineering & Design
Roles and Responsibilities:
•Demonstrate good working knowledge of Data Warehouse solutions from design and engineering perspective
•Build AWS based data lake solutions adopting a range of cloud native and industry proprietary technologies
•Do data analysis and discovery, profiling, impact analysis on complex Banking Data services initiatives including regulatory/compliance and business transformation
•Mature various data ingestion patterns for raw/curated/conformed/serving layers of the data lake with right ETL/ELT data engineering best practices
•Should proactively experiment with new patterns and technologies on Data lake and showcase innovative engineering solutions in consultation with other Architects and Designers
•Drive CI/CD Automation, reusable patterns, and frameworks
•Incorporate broader data management best practices – data quality, metadata, data modelling
•Demonstrate good appreciation of financial services domain (Banking) and regulatory/compliance landscape from data services perspective
•Strong analytical, quantitative, and problem-solving skills
•Good communication, articulation, and interpersonal skills to effectively interface with various Project stakeholders
Job Requirement
Skills /Competencies:
Essential:
•Data Warehousing experience at least 48 months
•Worked as a data engineer to build Data lake solutions for at least 18 months
•Strong foundation of various ETL/ELT best practices for Data Lake platforms
•Hands-on AWS experience (Redshift, EC2, etc.,)
•Appreciation of Data quality, Metadata, Data modelling best practices
•Advanced SQL, Unix Scripting
•Python, PySpark, Airflow
•Git/Jenkins
•Informatica Powercenter or any other industry ETL tool
•Prior exposure to Data Services projects in Banking domain
Preferred
•Informatica BDM
•PowerBI/Tableau/Thoughspot
•Snowflake
Additional Skills:
•Excellent customer interfacing skills.
•Excellent written and verbal communication skills.
•Strong attention to detail and outstanding analytical and Problem-solving skills.
All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.
At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment only on Infosys_ta@infosys.com or include your preferred method of communication in email and someone will be in touch.
Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.