Senior AWS Data Engineer - Madrid, España - Cognizant

Descripción

SENIOR AWS DATA ENGINEER

Location: Spain

You will become an active leader of the Data Engineer team that works closely with other disciplines/roles and that shares experience in Digital Transformation projects in a dynamic environment with multiple roles, using last technologies according to development/test standards and corporate architecture policies

Why choose us?

HIGH QUALITY PROJECTS. You will take part in demanding projects focused mainly on digitalization or even start projects from scratch. Show us what you're made of

LATEST TECHNOLOGIES. We know you love the fascinating world of Salesforce, which is why you'll continue to grow in this field by working with the latest technologies.

REMOTE POSITION WITHIN SPAIN. Flexibility, what else do we need? You'll be able to work from the comfort of your home from any location within Spain.

LEARNING. Your current knowledge is never enough, is it? You'll have access to learning platforms that will train you to become an expert or even start learning one of those skills you know you've been wanting to study.

TEAMWORK. This team will always be there for you We know you're tough and have a "no task too small" attitude, but you'll always have a talented teammate to count on if you need to

INTERNATIONAL TEAM. If you stand out among your peers because you've got great English communication skills, you'll be able to put that to good use If it's not your strongest suit, don't worry Here's where you can improve it by working alongside teams distributed all around the world.

CAREER PLAN. It is a fact, here you'll grow in every direction: vertically towards gaining more responsibilities and increasing in category, and horizontally towards learning new technologies and becoming an expert in your business.

Other benefits that you'll find:

What will make you successful in this position?

What will be your mission?

As a Senior Data Engineer, your responsibilities includes to make requirement analysis, understanding the functional aspects of the clients' requirement and efficient task execution like raise clarifications / issues / concerns regarding work output to the lead on time. You have to manage adherence to schedule / timelines, maintain effective working relationship (interpersonal) with team members and supervisors and adhere to organization policies and procedures. Participation in calls/status reporting and daily standup calls for the project.

Lead the design, development and implementation of data engineering projects on the AWS platform.
- Collaborate with stakeholders, data scientists and business analysts to understand data requirements and translate them into technical solutions.
- Design and implement scalable and efficient data pipelines, data lakes and data warehouses using AWS services such as AWS Glue, AWS EMR, AWS S3, AWS Redshift and AWS Athena, CloudFormation.
- Implement data integration and transformation processes to extract, cleanse and load data from multiple sources into the AWS environment.
- Ensure data quality and integrity by implementing data validation and monitoring processes.
- Optimize data storage and processing for optimal performance and cost effectiveness, leveraging AWS services and technologies.
- Collaborate with DevOps teams to implement CI/CD pipelines for data engineering projects, automate infrastructure provisioning, and ensure efficient deployment and monitoring of data solutions.
- Mentor and provide technical guidance to junior data engineers, fostering their professional growth and promoting best practices.

To sum up

Apply for this position if you want to remain a successful professional surrounded by a healthy and trendy environment.

Employee Status : Full Time Employee

Shift : Day Job

Travel : No

Job Posting : Mar