Senior Data Engineer
Role details
Job location
Tech stack
Job description
You will architect, develop, and test large scale and efficient solutions that provide leadership with the accurate data required to rapidly understand and adapt to changing business conditions.
- Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability
- Create data products, enabling self-service and predictability by any consumer
- Build libraries and frameworks that drive leverage and productivity for the entire team
- Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence
Requirements
seeking an experienced, detail-minded data engineer to support our client's worldwide business development and strategy team. If you are someone who looks forward to solving complex business problems and is excited about this opportunity, please reach out to us., * 6+ years software engineering, including strong SQL and data focus
- Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka
- Ability to analyze complex datasets and design solutions with optimum quality and efficiency
- Familiarity with SDLC best practices, version control, CI/CD, We are a rapidly growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter, who is willing to learn fast, adapt well to changing requirements and work with cross functional teams., * BS or MS in Engineering/ Computer Science
- Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.
- Knowledge of infrastructure as code (e.g., Terraform) and container orchestration tools (e.g., Kubernetes).
Banks, Healthcare okay and No Government or state jobs. 3 page resumes only. Must pass SQL and Python test CoderPad test. Will be given Python coding test in 1st interview 2-part interview process. MUST HAVE TOP COMMUNICATION SKILLS
- 6+ years software engineering, including strong SQL and data focus
- Expertise in languages like Python, Java, or Scala and technologies like Airflow, Spark, Trino, Kafka
