MetroSys Inc
Overview
MetroSys is seeking an experienced
Data Engineer
with a strong background in Python and Microsoft Azure environments. The ideal candidate will have at least 5 years of experience in building and optimizing data pipelines, managing data storage solutions, and integrating systems through APIs. This role will focus on developing robust data pipelines and warehouse solutions to support enterprise-level data initiatives.Key Responsibilities Design, develop, and maintain scalable
data pipelines
to support analytics, reporting, and operational workloads. Build and optimize
data storage solutions
in Microsoft Azure, including Azure Data Lake and related services. Integrate third-party and internal systems using
APIs
for data ingestion and synchronization. Collaborate with data architects, analysts, and business stakeholders to ensure data solutions meet requirements. Implement best practices for data governance, quality, and security across the pipeline lifecycle. Monitor, troubleshoot, and improve pipeline performance and reliability. Qualifications 5+ years
of hands-on experience as a Data Engineer or similar role. Strong proficiency with
Python
for data manipulation, automation, and pipeline development. Proven experience in
Microsoft Azure
data services (Azure Data Factory, Data Lake, Synapse, SQL Database). Solid understanding of
data warehouse concepts
and storage optimization techniques. Experience designing and consuming
APIs
for system integration. Strong problem-solving skills and ability to work independently in a remote environment. Preferred Skills:
Knowledge of cloud security practices and compliance requirements. Familiarity with CI/CD pipelines for data workflows. Experience with large-scale enterprise data projects.
MetroSys is seeking an experienced
Data Engineer
with a strong background in Python and Microsoft Azure environments. The ideal candidate will have at least 5 years of experience in building and optimizing data pipelines, managing data storage solutions, and integrating systems through APIs. This role will focus on developing robust data pipelines and warehouse solutions to support enterprise-level data initiatives.Key Responsibilities Design, develop, and maintain scalable
data pipelines
to support analytics, reporting, and operational workloads. Build and optimize
data storage solutions
in Microsoft Azure, including Azure Data Lake and related services. Integrate third-party and internal systems using
APIs
for data ingestion and synchronization. Collaborate with data architects, analysts, and business stakeholders to ensure data solutions meet requirements. Implement best practices for data governance, quality, and security across the pipeline lifecycle. Monitor, troubleshoot, and improve pipeline performance and reliability. Qualifications 5+ years
of hands-on experience as a Data Engineer or similar role. Strong proficiency with
Python
for data manipulation, automation, and pipeline development. Proven experience in
Microsoft Azure
data services (Azure Data Factory, Data Lake, Synapse, SQL Database). Solid understanding of
data warehouse concepts
and storage optimization techniques. Experience designing and consuming
APIs
for system integration. Strong problem-solving skills and ability to work independently in a remote environment. Preferred Skills:
Knowledge of cloud security practices and compliance requirements. Familiarity with CI/CD pipelines for data workflows. Experience with large-scale enterprise data projects.