Hire Talent
The Databricks Data Engineer will play a critical role in
accelerating data modernization efforts . Their expertise will support timely report conversion, i mprove data pipeline efficiency , and help
ensure data integrity and accessibility across the organization . Databricks platform expertise (workspace management, clusters, job scheduling).
Spark (PySpark/Scala) proficiency. SQL optimization
and advanced querying skills.
Azure Data Factory (ADF) or equivalent ETL pipeline experience Data warehousing concepts and architecture (Delta Lake) .
Python scripting for data manipulation
and
automation . Familiarity with
Azure Cloud environment (Blob Storage, ADLS) . Knowledge of
data governance, data security, and compliance . Experience Required: 3+ years hands-on experience with Databricks, including cluster management and optimization. 3+ years of Delta Lake architecture and implementation. 5+ years background in PySpark or Scala for data engineering tasks. 5+ years of demonstrated success building efficient ETL pipelines, using Azure Data Factory (ADF) or similar. 5+ years of migrating legacy reports to modern cloud analytics platforms. 5+ years of strong SQL skills with expertise in data modeling and performance tuning. 5+ years of BI tools such as Power BI or Tableau. Education: Bachelors degree in Computer Science, Information Systems, Data Science, or related technical field. Relevant industry certifications in Databricks, Azure Cloud, Data Engineering, or similar fields. Databricks Certified Data Engineer Associate (No more than 12 months expired) Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
Government Administration Referrals increase your chances of interviewing at HireTalent - Staffing & Recruiting Firm by 2x San Francisco, CA $110,000 - $170,000 3 weeks ago Irvine, CA $140,000 - $170,000 3 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
accelerating data modernization efforts . Their expertise will support timely report conversion, i mprove data pipeline efficiency , and help
ensure data integrity and accessibility across the organization . Databricks platform expertise (workspace management, clusters, job scheduling).
Spark (PySpark/Scala) proficiency. SQL optimization
and advanced querying skills.
Azure Data Factory (ADF) or equivalent ETL pipeline experience Data warehousing concepts and architecture (Delta Lake) .
Python scripting for data manipulation
and
automation . Familiarity with
Azure Cloud environment (Blob Storage, ADLS) . Knowledge of
data governance, data security, and compliance . Experience Required: 3+ years hands-on experience with Databricks, including cluster management and optimization. 3+ years of Delta Lake architecture and implementation. 5+ years background in PySpark or Scala for data engineering tasks. 5+ years of demonstrated success building efficient ETL pipelines, using Azure Data Factory (ADF) or similar. 5+ years of migrating legacy reports to modern cloud analytics platforms. 5+ years of strong SQL skills with expertise in data modeling and performance tuning. 5+ years of BI tools such as Power BI or Tableau. Education: Bachelors degree in Computer Science, Information Systems, Data Science, or related technical field. Relevant industry certifications in Databricks, Azure Cloud, Data Engineering, or similar fields. Databricks Certified Data Engineer Associate (No more than 12 months expired) Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Information Technology Industries
Government Administration Referrals increase your chances of interviewing at HireTalent - Staffing & Recruiting Firm by 2x San Francisco, CA $110,000 - $170,000 3 weeks ago Irvine, CA $140,000 - $170,000 3 weeks ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr