Senior Data Engineer

We create powerful, beautiful and intuitive digital products. We don't blindly follow trends. We take our understanding of the latest technologies and build the best solutions for our enterprise clients. We’re big believers in collaboration across engineering, UX and product teams. We combine our individual expertise to solve complex challenges.
We seek a team members who care about results and is not afraid of taking ownership - Data Engineer.

About the role:

• Leadership and Relationship Management:
Working in our customer projects with a focus on delivering value as part of cross-functional teams.
Collaborating with sales, delivery teams, customers, and project managers to design and architect data-driven solutions, taking ownership of the technical aspects.
• Data Solution Development:
Driving impact by developing data pipelines and crafting data transformation solutions on cloud data platforms
Designing, implementing or maintaining scalable data solutions that are aligned with business objectives
Architecting, deploying and orchestrating data pipelines using languages such as Python, Scala, or Java
Utilizing cloud services and big data technologies (e.g., Spark) to analyze large datasets, with a focus on efficiency and scalability
Developing data models, SQL queries, ETL processes to support warehousing needs, complex data analysis and data integration.
Advising on best practices, leveraging familiarity with data lake architectures and modern data stack like Databricks or Snowflake.
• Testing:
Ensuring data integrity through automated testing and quality checks, and optimizing data storage and processing in cloud environments.
• Documentation:
Data model and architecture design
Data engineering solution documentation
Project specific documentation
• Knowledge Management:
Participate in Commuity Techtalks, etc.


Requirements:

• Strong background in data engineering with some experience in BI or MLOps
• Strong skills and working experience with public cloud providers (AWS, Azure or GCP)
• Experience in building and designing data solutions
• Experience with Databricks, Snowflake or DataVault
• Experience and knowledge of SQL and Python
• Experience with Spark
• Familiarity with data warehousing and lakehouse


What we offer:

• Opportunity to be part of a global organization.
Encouraging working atmosphere, engaging activities, and extra benefits (e.g. additional medical insurance (covers gym subscription), team events, outreach activities, and others);
• Hybrid work model with remote work opportunities.
• Open, modern, and ergonomic work environment when working from the office with the multicultural community.
• Opportunity to grow professionally and personally (e.g. Udemy) and continuously develop within the domain.
• The salary range for this position is from 2850 EUR to 5750 EUR gross before taxes.*

*Salary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.

• Cognizant, as a digital company, makes employee health and safety its top priority. With that in mind, we are implementing virtual hiring and work practices which means all interviews will be conducted online as well as live from the office.

We will be looking forward to Your CV.
Only suitable candidates will be contacted within 7 days from application.
Stay up to date with our website https://www.cognizant.com/lt/en
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.