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DataE2E Technologies
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Engineering Manager – Big Data, Azure & Databricks

Engineering Manager – Big Data, Azure & Databricks

DataE2E Technologies

8 years

0 Lacs

India

Posted:1 month ago| Platform:

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Skills Required

engineering data azure databricks design analytics reliability security development drive coding governance compliance efficiency architecture software leadership spark hive mlflow unity programming etl agile communication certification ml ai collaboration

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title:

Location:

Employment Type:

Department:

Experience:

About the Role:

Engineering Manager

Key Responsibilities:

Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems.
Architect and oversee the development of end-to-end data solutions using
Azure Data Services
and
Databricks
.
Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to understand requirements and deliver impactful data products.
Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
Ensure high data quality, governance, and compliance with internal and external policies.
Optimize performance and cost efficiency of data infrastructure in the cloud.
Stay current with industry trends, emerging technologies, and apply them to improve system architecture and team capabilities.

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
8+ years of experience in software/data engineering with at least 3 years in a leadership or managerial role.
Proven hands-on experience with:
Big Data ecosystems
(Spark, Hive, Hadoop)
Azure Cloud Services
(Data Lake, Data Factory, Synapse Analytics, Blob Storage)
Databricks
(including Delta Lake, MLFlow, Unity Catalog)
Strong programming experience in
Python
,
Scala
, or
Java
.
Deep understanding of data modeling, ETL/ELT processes, and performance tuning.
Experience managing Agile teams and delivering complex projects on time.
Excellent problem-solving, leadership, and communication skills.

Preferred Qualifications:

Certification in Azure Data Engineer or Azure Solutions Architect.
Experience with data governance, security, and compliance (e.g., GDPR, HIPAA).
Familiarity with ML/AI workflows and collaboration with data science teams.

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