
Data Engineering Lead
2 days ago
Unlock the power of big data and propel your career as a Data Engineer. We seek a skilled professional with expertise in Spark and SQL to join our innovative team.
Key Responsibilities:- Design and develop scalable data pipelines using Azure Synapse, Databricks & Apache Spark (PySpark)
- Integrate data from various sources, ensuring data quality and consistency
- Optimize data processing workflows for performance and cost-efficiency
- Collaborate with data architects, analysts, and product owners to understand data requirements and deliver solutions
- Monitor data pipelines and troubleshoot issues to ensure data integrity
- Document data workflows, processes, and best practices
Requirements:
- Proficiency in Azure Synapse/Databricks and Apache Spark
- Strong PySpark and SQL skills for data manipulation and querying
- Familiarity with Delta Live Tables and Databricks workflows
- Experience with ETL tools and processes
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Minimum 2 years of work experience with Azure Synapse
- 5 years of experience in data engineering
Soft Skills:
- Excellent problem-solving abilities
- Strong communication and collaboration skills
- Ability to work in a fast-paced environment and manage multiple priorities
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