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We are seeking a motivated Data Engineer to join our team. In this role, you will be responsible for developing and maintaining robust data pipelines that drive our business intelligence and analytics.
Job Responsibility:
Developing and maintaining robust data pipelines that drive our business intelligence and analytics
Requirements:
2+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads
2+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi
2+ years of experience prepping structured and unstructured data for data science models
2+ years of experience with containerization and orchestration technologies (Docker, Kubernetes discussable) and experience with shell scripting in Bash/Unix shell is preferable
Proficiency in Oracle & SQL and data manipulation techniques
Experience using machine learning in data pipelines to discover, classify, and clean data
Implemented CI/CD with automated testing in Jenkins, Github Actions, or Gitlab CI/CD
Familiarity with AWS Services not limited to Lambda, S3, and DynamoDB
Demonstrated experience implementing data management life cycle, using data quality functions like standardization, transformation, rationalization, linking, and matching
What we offer:
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing