Senior Data Engineer
Vsg Business Solutions
Malvern, PA, United States
7 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$120,000.0 - $145,000.0
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Amazon S3
Continuous Integration
Data Architecture
Information Engineering
Extract Transform Load (ETL)
Python (Programming Language)
SQL Databases
Cloud Platform System
Snowflake
Apache Spark
+6 more
Git
Data Lakes
Pyspark
Apache Kafka
Data Pipelines
Databricks
Job description
We are seeking a Data Engineer with strong experience in Databricks, PySpark, Python, SQL, and AWS to build and optimize scalable data pipelines supporting enterprise analytics. The ideal candidate should have hands-on experience with cloud-based data platforms, ETL/ELT development, and Lakehouse architecture. Responsibilities
- Develop and maintain ETL/ELT pipelines using Databricks and PySpark.
- Design and optimize scalable data solutions on AWS.
- Build data pipelines using Delta Lake and Medallion Architecture.
- Write efficient SQL queries and optimize Spark jobs.
- Collaborate with Data Engineers, Architects, and Business teams.
- Ensure data quality, performance, and reliability., Role: Senior Databricks Engineer Location: Malvern, PA Fulltime Salary Range: $120,000-$145,000/Year We need strong Databricks Platform engineering experience with AWS cloud e…
- 6 days ago +
Requirements
- 6+ years of Data Engineering experience.
- Strong hands-on experience with Databricks, PySpark, Python, and SQL.
- Experience with AWS (S3, Glue, Redshift).
- Knowledge of Delta Lake, ETL/ELT, and data modeling.
- Experience with Git and CI/CD.
- Excellent communication skills.
Preferred
- Unity Catalog
- Delta Live Tables (DLT)
- Airflow
- Kafka
- Snowflake
- Financial Services experience (preferred)
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