Databrick Engineer

Stellent IT LLC; Malvern (Chester County); Presencial; USD 150.000 - 210.000; Jornada completa

Descripción de la vacante

Stellent IT LLC in Malvern, PA is seeking a Databrick Engineer with 5-7+ years of enterprise data engineering experience. The role focuses on building and migrating ETL/ELT pipelines to Databricks, leveraging Spark/PySpark and AWS data services to ensure data availability and integrity for financial reporting ecosystems.

Responsibilities include migrating EMR to Databricks, creating job aids, and training analysts while collaborating with business stakeholders to deliver scalable data solutions

Formación

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 5-7+ years of enterprise Data Engineering experience.
• Strong Python development experience.
• Advanced SQL programming skills.
• Extensive experience with Apache Spark and PySpark.
• Strong experience with Databricks application.
• Hands-on experience with AWS data services including S3, AWS Glue, Athena, Lambda, Step Functions, EventBridge.
• Experience building enterprise ETL and ELT pipelines.
• Strong understanding of distributed data processing.
• Experience working with large-scale cloud data platforms.
• Strong knowledge of dimensional data modeling.
• Experience implementing CI/CD pipelines (Git and GitHub Actions is mandatory, along with CloudFormation/Terraform).
• Familiarity with Agile/Scrum methodologies.
• Excellent communication and stakeholder management skills.

Responsabilidades

• Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.
• Migrate jobs from EMR to Databricks.
• Create strong job aids and train analysts.
• Implement and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering core financial engines and reporting ecosystems.

Conocimientos

Python development

SQL

Apache Spark / PySpark

Databricks

AWS data services

ETL/ELT pipelines

CI/CD pipelines

Agile/Scrum

Communication

Educación

Bachelor's degree in CS/Engineering/IS

Herramientas

Databricks

Airflow

Kafka / Kinesis

Git / GitHub Actions

CloudFormation/Terraform

Descripción del empleo

Databrick Engineer

Malvern, Pennsylvania Full Onsite

Proper LinkedIn with no single word update on resume

onsite interview required in Malvern, PA

Role Overview

* Candidates must have real hands-on experience building ETL pipeline using Databricks *

We are seeking high-caliber Data Engineers to drive data analysis projects, Migrate jobs from EMR to Databricks, create strong job aids and train analysts. In this pivotal role, you will implement and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.

Key Responsibilities & Outcomes

• Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.
• Migrate jobs from EMR to Databricks.
• Create strong job aids and train analysts.
• Implement and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering core financial engines and reporting ecosystems.

Qualifications & Requirements

Required:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 5-7+ years of enterprise Data Engineering experience.
• Strong Python development experience.
• Advanced SQL programming skills.
• Extensive experience with Apache Spark and PySpark.
• Strong experience with Databricks application.
• Hands-on experience with AWS data services including: S3, AWS Glue, Athena, Lambda, Step Functions, EventBridge.
• Experience building enterprise ETL and ELT pipelines.
• Strong understanding of distributed data processing.
• Experience working with large-scale cloud data platforms.
• Strong knowledge of dimensional data modeling.
• Experience implementing CI/CD pipelines (Git and GitHub Actions is mandatory, along with CloudFormation/Terraform).
• Familiarity with Agile/Scrum methodologies.
• Excellent communication and stakeholder management skills.

Preferred:

• Financial Services or Asset Management industry experience.
• Knowledge of Apache Iceberg, Delta Lake, or Hudi.
• Experience with Airflow.
• Knowledge of Kafka or Kinesis streaming.
• Experience supporting AI/ML and advanced analytics platforms.
• AWS Professional or Specialty Certifications.