Senior Data Engineer Aws

hace 2 semanas


Madrid, España Cognizant A tiempo completo

**SENIOR AWS DATA ENGINEER**

**Location: Spain**

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 will become an active member of the data engineering team working closely with other disciplines/roles and sharing experience in digital transformation projects in a dynamic multi-role environment, using the latest technologies in accordance with development/testing 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**:

- Restaurant tickets for every working day
- Permanent contract: you are here to grow with us
- Flexible retribution for the Gympass and nursery tickets: take care of your health and your children
- Referral program: it’s time to bring your colleagues to an awesome team and get rewarded for it
- Salary and bonuses: it’s a matter of reaching an agreement. We’ll discuss it on our first call

**What will make you successful in this position?**
- Good professional experience in AWS (Lambda, ECS, S3, SNS, GLUE, ATHENA, RDS, IAM, CLOUDFORMATION).
- Version control (GIT, CI/CD).
- Python 3.
- Spark.
- Libraries: Pandas and NumPy.
- Communication skills.
- ETL/ELT ingest process.
- Relational databases.
- Data Modelling
- AWS Step Functions
- Web/API integration
- Agile methodologies (Scrum)
- Any AWS certification
- English level from B1 onwards, Spanish mandatory.

**What will be your mission?**
- 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.

**To sum up



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