Senior Data Engineer

Atyeti Inc

. Perform data engineering work involving Azure data and analytics services .

Posted 9/28/2026contractPrinceton • New Jersey • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in Azure Data Factory, Azure Databricks, and Azure Data Lake, with advanced skills in Python and PySpark for large-scale data processing. Proficient in building and optimizing ETL/ELT pipelines, data models, and data warehouses while applying Infrastructure as Code and CI/CD practices.

Highest-signal resume keywords

Azure Data FactoryPythonPySparkSQLETL/ELT

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData ModelingData WarehousingBig Data ProcessingData ExtractionData TransformationData OptimizationInfrastructure as CodeCI/CD Practices

Tools & Technologies

Azure DatabricksAzure Data Lake

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

Perform data engineering work involving Azure data and analytics services
Develop and process large-scale data using Python and PySpark
Build and optimize ETL/ELT pipelines, data models, and data warehouses
Use SQL for data extraction, transformation, and optimization
Apply Infrastructure as Code and CI/CD practices

Requirements

What you’ll need

Deep expertise in Azure Data Factory, Azure Databricks, Azure Data Lake, and related Azure analytics services
Advanced Python and PySpark skills for large-scale data processing
Experience with ETL/ELT, data modeling, data warehousing, and big data processing
Strong SQL skills for extraction, transformation, and optimization
Knowledge of Infrastructure as Code and CI/CD pipelines