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Description:
As a Senior Data Engineer, you will be responsible for designing and optimizing data infrastructure to support AI, machine learning initiatives, and data integration.
You will work with cutting-edge technologies in a dynamic and rapidly evolving environment.
Your role will involve creating and maintaining scalable data pipelines and ETL processes, optimizing data storage solutions, and collaborating with data scientists and engineers.
You will ensure data integrity through testing and validation, monitor and troubleshoot data pipelines, and mentor junior engineers.
Requirements:
Experience: 5+ years in data engineering or a related field with a focus on designing and managing scalable data systems.
Technical Skills: Proficiency in SQL, experience with relational databases, expertise in data pipeline and ETL tools (e.g., Apache Airflow, AWS Glue), familiarity with big data technologies (e.g., Hadoop, Spark, Kafka), and programming skills in Python, Java, or Scala.
Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Problem-Solving: Strong analytical skills, attention to detail, and innovative problem-solving abilities.
Collaboration: Excellent communication and teamwork skills to work effectively with cross-functional teams.
Benefits:
Long-term projects offering stability and growth opportunities.
100% remote work allowing flexibility and work-life balance.
Payment in USD providing financial security.
PTO for time off and relaxation.
English lessons for personal and professional development.
Technical training to enhance skills and knowledge.
Career Coaching for guidance and advancement.
And more benefits to support your well-being and career growth.