NES Fircroft
Job Title :
Azure Data Engineer Job Summary: We are seeking a highly skilled and motivated
Azure Data Engineer
with expertise in
Databricks ,
Azure Data Warehouse ,
Power BI , and
data modeling using Erwin . The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and analytics solutions that empower data-driven decision-making across the organization. Key Responsibilities: Design and implement scalable data pipelines and dimensional models (Star Schema). Develop and optimize enterprise data warehouse models using
Erwin , with
Databricks
as the data repository. Extract and structure master data-based dimensions from existing
Power BI
dashboards. Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into robust technical solutions. Ensure data quality, integrity, and governance across all data platforms. Monitor, troubleshoot, and optimize data workflows and performance. Implement CI/CD practices for efficient and reliable data pipeline deployments. Required Skills and Qualifications: Minimum of
5 years of experience
in data engineering, with a strong focus on
Power BI ,
Databricks ,
Star Schema , and
Erwin . Proficiency in
Python
and
Apache Spark
for data transformation and analysis. Deep understanding of data modeling techniques and data warehouse architecture. Experience with version control systems (e.g.,
Git ) and DevOps methodologies. Strong analytical, problem-solving, and communication skills. Preferred Qualifications: Microsoft Certified: Azure Data Engineer Associate
or equivalent certification. Experience with
Delta Lake ,
Lakehouse architecture , and
real-time data processing . Familiarity with enterprise data governance tools and best practices. Knowledge of the
Downstream Oil & Gas
industry is a plus. **NO C2C Option - NO Sponsorship/MUST be eligible to work in the US***
Azure Data Engineer Job Summary: We are seeking a highly skilled and motivated
Azure Data Engineer
with expertise in
Databricks ,
Azure Data Warehouse ,
Power BI , and
data modeling using Erwin . The successful candidate will be responsible for designing, developing, and maintaining scalable data pipelines and analytics solutions that empower data-driven decision-making across the organization. Key Responsibilities: Design and implement scalable data pipelines and dimensional models (Star Schema). Develop and optimize enterprise data warehouse models using
Erwin , with
Databricks
as the data repository. Extract and structure master data-based dimensions from existing
Power BI
dashboards. Collaborate with data architects, analysts, and business stakeholders to gather requirements and translate them into robust technical solutions. Ensure data quality, integrity, and governance across all data platforms. Monitor, troubleshoot, and optimize data workflows and performance. Implement CI/CD practices for efficient and reliable data pipeline deployments. Required Skills and Qualifications: Minimum of
5 years of experience
in data engineering, with a strong focus on
Power BI ,
Databricks ,
Star Schema , and
Erwin . Proficiency in
Python
and
Apache Spark
for data transformation and analysis. Deep understanding of data modeling techniques and data warehouse architecture. Experience with version control systems (e.g.,
Git ) and DevOps methodologies. Strong analytical, problem-solving, and communication skills. Preferred Qualifications: Microsoft Certified: Azure Data Engineer Associate
or equivalent certification. Experience with
Delta Lake ,
Lakehouse architecture , and
real-time data processing . Familiarity with enterprise data governance tools and best practices. Knowledge of the
Downstream Oil & Gas
industry is a plus. **NO C2C Option - NO Sponsorship/MUST be eligible to work in the US***