Data Engineer (AWS)

Description

Job Summary: We are seeking a professional to design and implement scalable data lakes, data warehouses, and data lakehouses, transforming enterprises through technology and innovation. Key Highlights: 1. Diverse, inclusive, and collaborative culture 2. Continuous professional development 3. Flexible environment that encourages growth *Logicalis values diversity and provides equal opportunities to all qualified candidates, regardless of gender, race, sexual orientation, disability, or any other characteristic.* We are \#ArchitectsOfChange. We help thousands of companies transform and succeed in a digital world. We believe technology can change the world and make it a better place to live—promoting a culture aligned with our values: integrity, innovation, excellence, partnerships, and empowerment. Visit our website: http://www.la.logicalis.com. **Responsibilities and Duties** * Ability to design and implement scalable data lakes, data warehouses, and data lakehouses, with solid experience in AWS. * Expertise in Python and advanced SQL for data transformation, plus deep knowledge of distributed processing tools such as Apache Spark. * Proficiency with orchestration tools to build robust and monitorable data pipelines. * Implementation of CI/CD practices, test automation, pipeline monitoring, and observability. * Knowledge of data governance, metadata catalogs, and data modeling techniques. **Requirements and Qualifications** * Completed undergraduate degree; * Advanced proficiency in **S3 (storage), (ETL), Redshift (DW), Athena, Lambda, and Kinesis.** * Expertise in **Apache Spark (Glue/EMR)** for large-scale batch/streaming workloads. * Mastery of **Python (PySpark)** and **complex SQL**. * Familiarity with major relational databases **(PostgreSQL and SQL Server)** and non-relational databases **(MongoDB, Redis, Elasticsearch)**. * Application of **CI/CD, IaC (Infrastructure as Code \- e.g., Terraform or AWS CloudFormation)** for pipelines. * Implementation of observability (**CloudWatch**) and data validation. * Knowledge of best practices with **AWS IAM, Secrets Manager, KMS**, and security policies for data governance. * Ability to design scalable data models (**Star Schema, Data Vault**) and modern architectures (**Lakehouse, Mesh**) on AWS. * Advanced English proficiency. **Additional Information** **Our Benefits:** Health insurance Dental insurance Meal and food allowance Private pension plan Life insurance Childcare assistance Transportation allowance Professional Support Program Totalpass Birthday Off Work from Anywhere #### **Join the Architects of Change team!** We are over 7\.000 people transforming realities through technology and talent. Here, every contribution matters. We embrace diversity, collaboration, and continuous learning in a flexible environment that fosters professional growth. We work with technologies driving the future—such as 5G, Data Analytics, IoT, Cloud, and Security. Our journey began in 1997 in the UK, and we continue accelerating progress in an ever-changing digital world—with innovation, inclusion, and sustainability at the core of our culture. **Why Logicalis?** * Continuous professional development * Diverse, inclusive, and collaborative culture * Open dialogue and teamwork * Focus on well-being and work-life balance * Recognition for deliverables **Here, you don’t just build a career—you help build tomorrow.** Come be an Architect of Change! Apply now and take the next step in your future.