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Los Angeles, CA, USA
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Position Overview
We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The role focuses on developing robust ETL/ELT processes, optimizing data architectures, and enabling high-quality analytics and reporting across enterprise systems. The ideal candidate will have strong experience in cloud data platforms, big data technologies, data modeling, and data governance, along with hands-on engineering expertise in Python and SQL .
Key Responsibilities
Required Skills & QualificationsCloud & Data Platforms
Strong experience with Azure ecosystem (ADF, Data Lake, Blob Storage, Functions)
Experience with Databricks and Apache Spark
Data Engineering
Strong experience in ETL/ELT pipeline development
Data modeling, schema design, and data warehousing concepts
Experience with OLTP/OLAP systems and performance tuning
Programming
Strong proficiency in Python and SQL
Exposure to Scala or R is a plus
Big Data & Analytics
Experience with Spark, PySpark, and Databricks
Familiarity with BI tools such as Power BI or Tableau
Data Governance & Security
Knowledge of RBAC/ABAC, data lineage, and data security practices
Experience implementing monitoring and audit controls in cloud environments
DevOps & Infrastructure
Experience with Git and CI/CD pipelines
Familiarity with Terraform and infrastructure-as-code
Experience with YAML-based deployment automation
Experience Required
7+ years of experience in data engineering or enterprise data architecture
5+ years of hands-on experience with Azure Data Factory and Databricks
5+ years of experience building data pipelines using Python and SQL
5+ years of experience with data warehousing and BI integration
5+ years of experience with CI/CD pipelines and cloud infrastructure automation
Strong experience working with Lakehouse or modern data architecture
Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience)
Any Graduate
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