Strategic Data Engineering Leadership Role
2 days ago
Job Overview:
We are seeking an experienced and skilled Data Engineer Manager to join our team at LatentView Analytics. This is a leadership role that requires strategic thinking, technical expertise, and excellent communication skills.
Responsibilities:
- Lead the design, implementation, and optimization of our Databricks platform to meet functional and non-functional requirements.
- Work closely with the data engineering team to ensure the Databricks platform is optimized for performance, scalability, and reliability.
- Develop and maintain a comprehensive understanding of our data pipeline and data architecture.
- Collaborate with other teams to integrate the Databricks platform with other enterprise systems and technologies.
- Provide guidance and support to the data engineering team on Databricks-related issues.
Requirements:
- 9-15 years of experience in Databricks, Python, Big Data, Apache Spark, SQL, and Spark SQL.
- Strong hands-on experience in Pyspark and Apache Spark.
- Experience in building data governance solutions like Unity Catalog.
- Ability to build strong orchestration layers in Databricks/ADF workloads.
- Experience in implementing security layers in Delta Lake.
- Implement massive parallel processing layers in Spark SQL and PySpark.
- Implement cost-effective infrastructure in Databricks.
What We Offer:
A competitive salary range of $120,000 - $180,000 per year, depending on experience, along with a benefits package that includes health insurance, retirement savings plan, and paid time off.
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