Eightelevengroup
Senior Cloud & Data Engineer
Contract – Full Time
100% Remote
Position Overview We are seeking an experienced
Cloud & Data Engineer
to play a key role in our
Cloud Data Modernization initiative . The ideal candidate will have a strong background in
cloud data engineering, ETL development, and data quality assurance . This role will focus on
migrating an on-premises Enterprise Data Warehouse (SQL Server)
to a modern, cloud-based architecture leveraging
Azure
and
Snowflake . The Cloud & Data Engineer will design and implement scalable data pipelines, ensure seamless integration between systems, and drive automation through modern DevOps and CI/CD practices.
Key Responsibilities
Design, develop, and implement
data platform solutions
using
Azure Data Factory (ADF) ,
Self-Hosted Integration Runtime (SHIR) ,
Logic Apps ,
Azure Data Lake Storage Gen2 (ADLS Gen2) ,
Blob Storage , and
Snowflake .
Analyze and refactor existing
on-premises ETL processes
built in
SSIS
and
T-SQL
for migration to Azure/Snowflake.
Build and optimize
data pipelines , ensuring scalability, reliability, and performance across environments.
Implement
DevOps
and
CI/CD
processes using
GitHub Actions
to automate testing and deployment.
Collaborate closely with cross-functional teams, including data architects, analysts, and business stakeholders, to define requirements and deliver high-quality solutions.
Perform
data validation and QA
to ensure accuracy and consistency of data across legacy and cloud systems.
Troubleshoot data integration issues, optimize query performance, and ensure data governance and security compliance.
Contribute to
data modeling ,
metadata management , and
data quality best practices
within the modern data platform.
Required Qualifications
5+ years
of professional experience as a
Cloud Data Engineer
or
Data Platform Engineer .
Hands-on experience with
Azure Cloud data tools , including
ADF ,
SHIR ,
Logic Apps ,
ADLS Gen2 , and
Blob Storage .
Proficiency in
Snowflake
for data warehousing and analytics.
Strong experience in
ETL design and development
using
SQL Server ,
SSIS , and
T-SQL .
Proficiency in
Python
or other scripting languages for automation and data processing.
Experience with
DevOps/CI/CD practices , particularly using
GitHub Actions .
Working knowledge of
Agile methodologies
and sprint-based delivery.
Excellent
problem-solving ,
analytical , and
communication skills .
Proven experience performing
data validation and quality assurance , especially in
data migration
or
modernization projects .
Ability to work independently, manage priorities, and adapt quickly to new tools and technologies.
Preferred Qualifications
Experience with
Databricks
for data engineering and analytics workloads.
Familiarity with
other cloud platforms , such as
AWS
or
Google Cloud .
Knowledge of
data governance ,
data modeling , and
data quality best practices .
Experience implementing
unit testing frameworks
and documenting results.
Certifications in
Azure ,
Snowflake , or related cloud technologies.
Tech Stack Overview Azure, Snowflake, SQL Server, SSIS, T-SQL, Python, ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage, GitHub Actions, Databricks, AWS, Google Cloud, CI/CD, Agile
#J-18808-Ljbffr
100% Remote
Position Overview We are seeking an experienced
Cloud & Data Engineer
to play a key role in our
Cloud Data Modernization initiative . The ideal candidate will have a strong background in
cloud data engineering, ETL development, and data quality assurance . This role will focus on
migrating an on-premises Enterprise Data Warehouse (SQL Server)
to a modern, cloud-based architecture leveraging
Azure
and
Snowflake . The Cloud & Data Engineer will design and implement scalable data pipelines, ensure seamless integration between systems, and drive automation through modern DevOps and CI/CD practices.
Key Responsibilities
Design, develop, and implement
data platform solutions
using
Azure Data Factory (ADF) ,
Self-Hosted Integration Runtime (SHIR) ,
Logic Apps ,
Azure Data Lake Storage Gen2 (ADLS Gen2) ,
Blob Storage , and
Snowflake .
Analyze and refactor existing
on-premises ETL processes
built in
SSIS
and
T-SQL
for migration to Azure/Snowflake.
Build and optimize
data pipelines , ensuring scalability, reliability, and performance across environments.
Implement
DevOps
and
CI/CD
processes using
GitHub Actions
to automate testing and deployment.
Collaborate closely with cross-functional teams, including data architects, analysts, and business stakeholders, to define requirements and deliver high-quality solutions.
Perform
data validation and QA
to ensure accuracy and consistency of data across legacy and cloud systems.
Troubleshoot data integration issues, optimize query performance, and ensure data governance and security compliance.
Contribute to
data modeling ,
metadata management , and
data quality best practices
within the modern data platform.
Required Qualifications
5+ years
of professional experience as a
Cloud Data Engineer
or
Data Platform Engineer .
Hands-on experience with
Azure Cloud data tools , including
ADF ,
SHIR ,
Logic Apps ,
ADLS Gen2 , and
Blob Storage .
Proficiency in
Snowflake
for data warehousing and analytics.
Strong experience in
ETL design and development
using
SQL Server ,
SSIS , and
T-SQL .
Proficiency in
Python
or other scripting languages for automation and data processing.
Experience with
DevOps/CI/CD practices , particularly using
GitHub Actions .
Working knowledge of
Agile methodologies
and sprint-based delivery.
Excellent
problem-solving ,
analytical , and
communication skills .
Proven experience performing
data validation and quality assurance , especially in
data migration
or
modernization projects .
Ability to work independently, manage priorities, and adapt quickly to new tools and technologies.
Preferred Qualifications
Experience with
Databricks
for data engineering and analytics workloads.
Familiarity with
other cloud platforms , such as
AWS
or
Google Cloud .
Knowledge of
data governance ,
data modeling , and
data quality best practices .
Experience implementing
unit testing frameworks
and documenting results.
Certifications in
Azure ,
Snowflake , or related cloud technologies.
Tech Stack Overview Azure, Snowflake, SQL Server, SSIS, T-SQL, Python, ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage, GitHub Actions, Databricks, AWS, Google Cloud, CI/CD, Agile
#J-18808-Ljbffr