Python Data Engineer Cloud

Brains Workgroup, Inc.; Woodbridge Township (NJ); Híbrido; USD 110 000 - 117 000; Tempo integral

Resumo da oferta

BRAINS WORKGROUP, INC. is seeking a Cloud Data Engineer in Central New Jersey to design, build, and maintain scalable data pipelines on Azure. You will work with Python, SQL, and Databricks to process large datasets and ensure secure, efficient cloud data storage and processing.

The role is hybrid, 12‑month contract with possible extensions or hire option. Responsibilities include developing Spark on Databricks, data modeling, and data governance while optimizing performance for big data

Qualificações

• 5+ years Python coding experience.
• 5+ years - SQL Server based development of large datasets.
• 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
• Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
• Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
• Experience with Cloud based data architectures, messaging, and analytics.
• Cloud certification(s).
• Any experience with Airflow is a Plus.

Responsabilidades

• Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
• Design, develop, and deploy Spark program in Databricks environment to process and analyze large volumes of data.
• Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
• Proficient in developing programs in Python and SQL
• Experience with Data warehouse Dimensional data modeling.
• Working with event based/streaming technologies to ingest and process data.
• Working with structured, semi structured and unstructured data.
• Optimize Databricks jobs for performance and scalability to handle big data workloads.
• Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
• Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
• Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Conhecimentos

Python

SQL

Databricks

Azure

ETL

Spark

Airflow

Pyspark

Ferramentas

Databricks

Azure

Spark

Delta Lake

SQL Server

Azure Data Factory

PowerShell

Airflow

Descrição da oferta de emprego

Our client, a major bank in Central NJ, is looking for hands‑on Cloud Data Engineer with strong Python, SQL, ETL. This role is hybrid commute (1/2 days per week on-site).

This is 12 months contract with possible extensions or option to hire.

Rate: $80-85/h on W2 DOE, possible C2C as well.

Cloud Data Engineer

Description:

The Cloud Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and Azure cloud platforms. This role involves working with large datasets, optimizing data workflows, and ensuring secure, efficient data storage and processing in cloud environments.

Major Responsibilities:

• Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
• Design, develop, and deploy Spark program in Databricks environment to process and analyze large volumes of data.
• Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
• Proficient in developing programs in Python and SQL
• Experience with Data warehouse Dimensional data modeling.
• Working with event based/streaming technologies to ingest and process data.
• Working with structured, semi structured and unstructured data.
• Optimize Databricks jobs for performance and scalability to handle big data workloads.
• Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
• Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
• Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
• Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

• 5+ years Python coding experience.
• 5+ years - SQL Server based development of large datasets
• 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
• Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
• Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
• Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
• Experience with Cloud based data architectures, messaging, and analytics.
• Cloud certification(s).
• Any experience with Airflow is a Plus.

Keywords: Python SQL Cloud Azure ETL PySpark Databricks