Data Engineer Mid-Senior
Indexed description
YOUR ROLE
Data engineer with strong experience as a Data Engineer with expertise in AWS cloud environments.
YOUR PROFILE
Proficiency in Python, SQL, and Spark for data processing and transformation.
Hands-on experience with AWS Glue, Redshift, Athena, EMR, S3, and Lambda.
Experience with ETL orchestration tools (Step Functions, Airflow, Prefect, Dagster).
Familiarity with containerization (Docker, Kubernetes, ECS) and CI/CD pipelines.
Understanding of data security, IAM policies, and encryption best practices.
Nice To Have
AWS certifications such as AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
Experience with Machine Learning and AI/ML data pipelines in AWS.
Knowledge of serverless data engineering with Lambda and API Gateway.
Hands-on experience with NoSQL databases (DynamoDB, MongoDB, OpenSearch).
What You'll Love About Working Here
- Join a multicultural and inclusive team environment.
- Enjoy a supportive atmosphere promoting work-life balance.
- Engage in exciting national and international projects.
- Hybrid work.
- Your career growth is central to our mission. Our array of career growth programs and diverse professionals are crafted to support you in exploring a world of opportunities.
- Training and certifications programs.
- Health and life insurance.
- Referral program with bonuses for talent recommendations.
- Great office locations.
Apply now!
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