Senior Data Engineer - Databricks, Spark & Python

Indotronix UK; San Francisco (CA); Hybrid; USD 96,000 - 165,000; Part time

Job summary

Indotronix UK is seeking a Senior Data Engineer in San Francisco for a hybrid role combining on-site collaboration with remote work. You will work on data pipelines, Databricks, Spark, SQL, and Python to build robust data solutions.

The position requires 5+ years of experience in data engineering and strong hands-on experience with Databricks and Apache Spark. This contract engagement emphasizes collaboration, design, and delivery in an Agile environment.

Qualifications

• 5+ years of data engineering experience.
• Recent hands-on work with Databricks, Apache Spark, SQL and Python.
• Experience designing data pipelines and ETL processes.
• Familiarity with Jira and Confluence in Agile environments.

Responsibilities

• Design and implement scalable data pipelines.
• Collaborate with cross-functional teams in Agile sprints.
• Ensure data quality and documentation.

Skills

Python

SQL

ETL

Data Pipelines

Agile

Tools

Databricks

Apache Spark

Jira

Confluence

Job description

Indotronix UK is seeking a Senior Data Engineer in San Francisco for a hybrid role combining on-site collaboration with remote work. You will work on data pipelines, Databricks, Spark, SQL, and Python to build robust data solutions.

The position requires 5+ years of experience in data engineering and strong hands-on experience with Databricks and Apache Spark. This contract engagement emphasizes collaboration, design, and delivery in an Agile environment.