Data Engineer at Zoolatech

ABOUT THE PROJECT

Our client is a global jewelry manufacturer that is transforming the retail experience with cutting-edge technology. The mission is to provide an exceptional shopping experience to our customers by leveraging data-driven insights and innovative solutions.

REQUIREMENTS

– 4+ years of experience as a Data Engineer, ETL Developer, or similar role.
– Experience with Azure Synapse Analytics.
– Strong knowledge of SQL and Spark SQL.
– Ability to develop & manage Apache Spark data processing applications using PySpark on Databricks.
– Experience with version control (e.g., Git), DevOps, and CI/CD.
– Experience with Python.
– Experience with Microsoft data platform, Microsoft Azure stack, and Databricks.
– Understanding of dimensional data modelling concepts.
– Understanding of streaming data ingestion processes.
– Experience in Marketing, Retail, and Ecom will be a plus.
– Strong problem-solving skills and ability to work independently as well as part of a team.
– Excellent communication skills, with the ability to translate technical concepts into business-friendly language.
– Detail-oriented with a commitment to delivering high-quality, reliable data solutions.

RESPONSIBILITIES

– Develop and maintain data products and pipelines in Databricks, Azure Data Factory and Azure Synapse Analytics.
– Communicate with stakeholders and users of our data products by understanding their problems and supporting them in their needs.
– Optimize data pipelines for performance and scalability, automating repetitive tasks to improve efficiency and reduce the time from data ingestion to actionable insights.
– Implement and maintain data quality processes, including data validation, cleansing, and error handling, to ensure high data integrity across all systems.
– Improve existing data integration processes to provide better reliability and robustness.
– Partner with product managers, analysts, and business stakeholders to understand data requirements, provide data engineering support, and ensure data is accessible and usable for analysis and reporting.
– Stay up-to-date with the latest trends and best practices in data engineering, bringing innovative ideas and solutions to improve our data infrastructure and capabilities.

WHAT WE OFFER

– Paid Vacation
– Sick Days
– Sport/Insurance Compensation
– English Classes
– Charity Training Compensation

COMPENSATION & BENEFITS

– Competitive salary
– Opportunities for professional development and training
– Friendly team and inclusive culture