Job Description
At our organization, we are seeking a highly experienced Senior Data Engineering Lead . This is an exciting opportunity to lead development efforts and manage stakeholders.
Responsibilities :
- Lead development teams and drive project timelines.
- Ensure high-quality deliverables and implement data management strategies.
- Manage stakeholders and design solutions that meet business needs.
Required Skills and Qualifications
Programming Skills : Expertise in Python, PySpark, and SQL. Stellar hands-on experience is required.Azure Expertise : Proficient in Microsoft Azure Cloud Services and able to design solutions that meet business needs.Data Warehousing : Expertise in data warehouse best practices, development standards, and methodologies. A minimum of 5 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud is required.Data Modeling Expertise : Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling. Strong analytical and problem-solving skills are essential.Big Data Tools : Experience with platforms such as Databricks (preferable) and common ETL / ELT tools like ADF, Informatica, Talend is required.Cloud Data Engineering concepts : Experience with implementing Medallion Architecture for data management and managing large datasets efficiently.Data Management and Storage : Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, and other related technologies is necessary.Analytical Skills : Strong analytical and problem-solving skills are essential for success in this role.Benefits
We offer a competitive salary and benefits package, as well as opportunities for growth and professional development. Our team is committed to creating a diverse and inclusive work environment, where everyone has the opportunity to succeed. We welcome applications from qualified candidates who share our values and are passionate about data engineering.
How to Apply
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