Data Engineer at Eptura responsible for data pipeline design and maintenance. Collaborating on innovative projects to drive data-driven decision-making in a global organization.
Responsibilities
Collaborate with stakeholders to understand data requirements and design, develop, and maintain complex ETL processes.
Implement at least two end-to-end Data Warehouse projects.
Create data integration and data diagram documentation.
Design and maintain data models, including schema design and optimization.
Build and manage automated data pipelines ensuring data quality and consistency.
Work on Data Warehouse platforms, including data mapping, ETL, data load, and transformation.
Apply strong Data Warehousing and Dimensional Data Modeling skills.
Utilize Python/Scala and Spark (including PySpark) for big data processing.
Work with SQL for data querying and manipulation.
Leverage Azure technologies such as Synapse, Data Factory, Blob Storage, and ADLS (nice to have).
Use Azure DevOps for CI/CD or equivalent tools (nice to have).
Work with Databricks and/or Snowflake.
Requirements
Degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience).
4–7 years of experience as a Data Engineer.
Hands-on experience with Azure Cloud platform and ETL processes using Azure Data Factory.
Proficiency in Python, PySpark, and SQL.
Experience with big data processing and analytics using Azure Databricks.
Strong problem-solving and troubleshooting skills.
Excellent communication skills for working with cross-functional teams.
Familiarity with BI tools such as Power BI, Tableau, Looker, or IBM Cognos.
Benefits
Health insurance fully paid–Spouse, children, and Parents
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