Ob Description: We are seeking a skilled and detail-oriented Data Engineerto join our dynamic team.
In this role, you will design, develop, and maintain robust data pipelines and architectures that enable efficient data processing, analytics, and reporting across the organization.
You will work closely with data scientists, analysts, and software engineers to ensure data reliability, scalability, and accessibility.
Key Responsibilities: Design, build, and optimize scalable data pipelines for ingestion, transformation, and storage.
Develop and maintain ETL processes and data models to support analytical and operational needs.
Collaborate with cross-functional teams to understand data requirements and implement best practices in data architecture.
Ensure data quality, integrity, and security across all data systems.
Work within a cloud environment (preferably AWS) to deploy, monitor, and manage data workflows.
Apply Agile methodologies and TDD principles to ensure efficient and reliable development cycles.
Support ad hoc data requests and contribute to process improvement initiatives.
Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.3+ years of experience in data engineering or a similar role.
Strong proficiency in Python and familiarity with frameworks such as Spark or Scala .
Proven experience in building distributed, cloud-based data systems (AWS preferred).
Working knowledge of Py Spark , Databricks , and Agile development methodologies .
Familiarity with Git , Jenkins , and test-driven development (TDD).
Solid grasp of data modeling , data warehousing , and data architecture principles .
Knowledge of graph databases is a plus.
