Lead Data Engineer for Scalable Architecture
1 day ago
We are seeking a highly skilled Lead Data Engineer to join our team at Aidetic. As a key member of our data engineering team, you will be responsible for designing and implementing scalable data architectures and ETL pipelines using modern tools like Databricks or Snowflake.
About the RoleThis is an excellent opportunity for an experienced data engineer to take on a leadership role and oversee the development of large-scale data processing projects. You will work closely with cross-functional teams to ensure seamless collaboration and delivery of high-quality solutions.
Key Responsibilities- Design and Implementation: Oversee end-to-end design, development, and deployment of data engineering solutions using Databricks or Snowflake.
- Team Leadership: Manage and mentor a team of data engineers, providing technical guidance and ensuring best practices are followed.
- Architect Scalable Solutions: Build and optimize scalable data architectures and ETL pipelines, ensuring data quality, reliability, and performance.
- Cross Team Collaboration: Collaborate with DevOps, infrastructure teams, and client stakeholders to optimize the performance and scalability of Databricks or Snowflake clusters.
- 4+ Years of Experience: Extensive experience with big data technologies, including Databricks or Snowflake and Apache Spark.
- Leadership Abilities: Proven experience in leading and mentoring data engineering teams.
- Advanced Programming Skills: Strong proficiency in Python, PySpark, Scala, or Java for complex data processing.
The estimated salary for this position is $140,000 - $170,000 per year, depending on experience and qualifications. Our company offers a comprehensive benefits package, including health insurance, retirement plans, and paid time off.
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