Data Engineer (Senior) ID40199 Faro

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing
- performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

• Design, build, and maintain
  - scale data pipelines and data processing systems in AWS;
• Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;
• Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;
• Implement best practices for data governance, security, and compliance;
• Monitor, troubleshoot, and improve the performance of data systems and pipelines;
• Mentor junior engineers and contribute to building a culture of technical excellence;
• Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
• 5+ years of experience in data engineering, software engineering, or related roles;
• Strong
  - on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc. );
• Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, Map
  Reduce) and Apache Spark (Py
  Spark, Spark SQL, streaming);
• Strong SQL skills and experience with relational and No
  SQL databases;
• Proficiency in Python, Java, or Scala for data processing and automation;
• Experience with workflow orchestration tools (Airflow, Step Functions);
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
• Excellent
  - solving skills and ability to work in
  - paced environments;
• Ability to work in German Time Zone (6:00-7:00 am to 2:00-3:00 pm Brazil/ART time);
• Upper-Intermediate English level.

NICE TO HAVES

• Experience with
  - time data streaming platforms (Kafka, Kinesis, Flink);
• Knowledge of containerization and orchestration (Docker, Kubernetes);
• Familiarity with data governance, lineage, and catalog tools;
• Previous leadership or mentoring experience.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, Tech
  Talks, and personalized growth roadmaps.
• Competitive compensation: We match your
  - growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and
  - tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal
  - life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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