Senior consultant at Infosys designing enterprise data solutions and leading technical teams. Collaborating across business pillars in a high - growth consulting environment focused on analytics and data strategy.
About the role
- Data Engineer delivering data for Financial Crime Prevention teams and supporting consistent data layer. Collaborating with multiple teams and defining expected solution details.
Responsibilities
- Designing, implementing and maintaining data pipelines based on GCP infrastructure
- Collaborating with developers from the team and with the architects on defining the process implementation design
- Providing work estimates and timely updates on solution development progress
- Working closely with the stakeholders to confirm details of solutions and validate requirements
- Helping business to understand technical capabilities, suggesting best possible solutions and explaining limitations
- Defining ways of working, suggesting and implementing improvements
Requirements
- Mid/Senior-level Software or Data Engineer with experience in one of these roles and some knowledge in scope of the other
- Experience in Scala and Java programming language
- Experience with cloud services (GCP or AWS) and infrastructure as a code (Terraform, or similar).
- Experience or knowledge about Spark is considered an advantage
- Experience with CI/CD and relevant tools like Github Actions
- Experience with Airflow is considered an advantage
- Business and product-oriented mindset, including experience on working directly with business stakeholders
- Experience in banking is considered an advantage
- Experience in working in Scrum and agile ways of working
- Analytical mindset and ability to solve complex technical problems
- Passion for challenges that drive personal development and professional growth
- Being a team player open for growth and learning is crucially important for the role
- Fluent English
Benefits
- health insurance for you and your family
- life insurance
- individual pension fund
- sports package
- trainings
- top-notch office
- great coffee
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer I developing data services with Azure technology for global risk management insights. Collaborating with teams to optimize data processes and ensure quality standards.
Senior Data Engineer designing and overseeing data pipelines in Databricks on AWS. Responsible for data quality and performance for enterprise analytics and AI workloads.
Data Engineer responsible for developing ETL/ELT pipelines for Whow Games. Work includes optimizing data models and managing databases for analysis.
Global digital business services organization seeks Data Engineer to enhance data processes through innovative solutions and collaboration.
AI Data Pipeline Engineer designing and operating high - throughput systems for petabyte - scale data delivery. Collaborating across teams to ensure data flows into AI workloads efficiently.
AWS Data Engineer role focusing on AWS technologies in Gurugram, Haryana, India. Responsibilities include AWS data engineering tasks and collaboration with team members.
Data Engineer implementing innovative technology for various domains at Quantexa. Building data pipelines and providing insights to help clients solve complex business problems.
Principal Consultant Data Architecture leading complex Data and Analytics projects in a hybrid environment. Responsible for designing enterprise data architectures and mentoring technical teams.
Consultant / Senior Consultant in Data Engineering & Data Science contributing to data solutions. Collaborating with cross - functional teams in a hybrid environment in Germany.