Data Engineering Leader for Innovative Data Solutions
23 hours ago
We are Resourcetree, a forward-thinking organization seeking an exceptional Data Engineering Leader to spearhead the development of our data infrastructure and integration processes.
About the Role:
The successful candidate will oversee the design, development, and maintenance of our data infrastructure and pipelines. This includes designing, developing, and maintaining data integration pipelines and ETL/ELT workflows, as well as leading multiple projects or managing a larger team with sub-projects.
Key Responsibilities:
- Design and develop data integration pipelines and ETL/ELT workflows.
- Lead multiple projects or manage a larger team with sub-projects.
- Ensure efficient and reliable data processes by collaborating with cross-functional teams.
Requirements:
- Proficient in basic and advanced SQL.
- Proficient in using Python for data integration and data engineering tasks.
- Experience with relational databases (e.g., SQL Server, Oracle, MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra), cloud databases (RedShift, Snowflake, Azure SQL).
- Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, or Google Cloud.
- Solid understanding of data modeling, data warehousing concepts, and practices.
Additional Requirements:
- A minimum of 8 to 10 years of experience in data engineering, focusing on data integration, data warehousing, and big data technologies.
- At least 3-5 years in a leadership role, demonstrating the ability to manage and mentor engineering teams and lead complex projects.
What We Offer:
As a Data Engineering Leader at Resourcetree, you can expect a competitive salary of $180,000 - $220,000 per year, depending on your experience and qualifications.
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