Adls Gen2 Developer Jobs

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15d ago

Senior Data Engineer

Deloitte Morristown, NJ

Morristown, NJ

15d ago

$95k - $150k/yr Full time Senior Adls Gen2 Apache Airflow

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Job Description

At Deloitte in Morristown, New Jersey, the Senior Data Engineer plays a key role in shaping client data platforms by designing, developing, and optimizing end-to-end solutions and ETL/ELT pipelines with Azure Data Factory, Databricks, and PySpark. The role requires collaborating with engagement teams and client architects to deliver scalable data architectures across development, testing, and production environments, with a focus on governance, performance, and cost efficiency.

Compensation

USD 95,000 - 150,000 per year

Responsibilities

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, escalating matters that require additional attention from engagement management
Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks
Write and tune PySpark / Spark SQL notebooks for large-scale data transformation
Architect end-to-end data solutions across dev UAT prod environments using Unity Catalog
Lead and drive design discussions with client architects and other counterparts
Collaborate with different teams on data contracts and schema agreements
Lead design and optimization of high-volume data pipeline
Define and enforce data engineering standards - naming conventions, partitioning strategies, cluster configurations, Spark tuning
Drive performance optimization - AQE tuning, liquid clustering, broadcast joins, shuffle partition management
Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies
Conduct root cause analysis on production incidents and implement permanent fixes
Mentor junior and mid-level engineers through code reviews and pair programming
Evaluate new technologies and recommend adoption (e.g., DABs, DLT, Auto Loader, Serverless Compute, event hubs)

Requirements

Python, PySpark, Spark SQL, SQL Server
Azure (ADF, ADLS Gen2, Key Vault, Azure Monitor)
Databricks (Delta Lake, Unity Catalog, Workflows)
Apache Airflow
Git / Azure DevOps
Deep Spark internals (DAG optimization, spill analysis, skew handling)
Delta Lake advanced features (time travel, deletion vectors, predictive I/O)
Unity Catalog governance (row/column security, external locations, system tables)
IaC - Terraform, Azure ARM templates
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Limited immigration sponsorship may be available
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve

Technologies

Python, PySpark, Spark SQL, SQL Server
Azure Data Factory (ADF), ADLS Gen2, Key Vault, Azure Monitor
Databricks, Delta Lake, Unity Catalog, Workflows
Apache Airflow
Git, Azure DevOps
DABs, DLT, Auto Loader, Serverless Compute, Azure Event Hubs
Terraform, Azure ARM templates

Additional Information

Information for applicants with a need for accommodation: Deloitte assistance for disabled applicants

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