Azure Data Engineer — Big Data, Databricks & DWH Expert

Capgemini

Town of Poland (NY)

Hybrid

USD 47,482 - 63,309

Full time

14 days+

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Benefits offered by this job

Hybrid work model

70+ training tracks with certification

Private medical care

Life insurance

Netflix / Spotify access

Job summary

Capgemini is seeking a Senior Azure Data Engineer to design and implement Azure-based data solutions handling large and unstructured datasets. You will work with Azure Databricks, Data Factory, Data Lake Gen2 and participate in building DWH/Big Data architectures within a CD/CI environment.

You will mentor junior engineers, collaborate with solution architects, and apply best practices across Python/SQL, Power BI, and API Azure, while enjoying a hybrid work model and extensive training

Qualifications

Experience designing and implementing Azure Data solutions for large datasets.
Practical knowledge of Python and SQL; Azure cloud services across compute/storage.
Azure certifications (DP-900/DP-200/201/AZ-204/AZ-400) preferred.

Responsibilities

Design and implement Azure Data solutions for large/unstructured data.
Leverage Azure Databricks and related services for processing, analytics, ML.
Collaborate with solution architects to promote data engineering best practices.
Implement, optimize and test DWH/Big Data on Azure with CI/CD pipelines.
Drive data processing efficiency and migrations to cloud; mentor juniors.

Skills

Big Data

Azure Cloud

Python

SQL

English

Education

DP-900

DP-200/201

AZ-204

AZ-400

Tools

Azure Databricks

Data Factory

Data Lake Gen2

Event Hub

Power BI

Azure DWH

Azure Function

Job description

You will mentor junior engineers, collaborate with solution architects, and apply best practices across Python/SQL, Power BI, and API Azure, while enjoying a hybrid work model and extensive training

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