Azure Data Engineer (Energy Domain)

Azure Data Engineer (Energy Domain)

Posted Today by 1766128542

Apply
Negotiable
Outside
Remote
USA
Apply
Automation Azure Data Factory Business Intelligence Cloud Storage Computer Science Data Engineering Data Governance Data Integration Data Modeling Data Pipeline Data Quality Data Transformation Data Warehousing Extract Transform Load (ETL) File Servers Microsoft Azure Microsoft SQL Servers Performance Tuning Power BI Python (Programming Language) Query Optimisation Snowflake (Data Warehouse) SQL (Programming Language) Stakeholder Management Workflows

Summary: The Senior Data Engineer role focuses on designing, building, and optimizing data solutions for advanced analytics and business intelligence, requiring expertise in Azure Data Factory, ETL processes, and data pipeline development. The candidate should possess strong skills in SQL Server and Python, with intermediate knowledge of Snowflake and Power BI. This position emphasizes collaboration with stakeholders to deliver actionable insights while ensuring data governance and quality. The ideal candidate will have extensive experience in data engineering, ideally within the energy domain.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL workflows using Azure Data Factory.
  • Implement robust data integration solutions across multiple sources and platforms.
  • Optimize and manage SQL Server databases, ensuring high performance and reliability.
  • Develop Python scripts for data transformation, automation, and advanced analytics.
  • Collaborate with stakeholders to understand data requirements and deliver actionable insights.
  • Integrate data into Snowflake for cloud-based storage and analytics.
  • Support Power BI dashboards and reports by ensuring data availability and quality.
  • Ensure compliance with data governance, security, and best practices.

Key Skills:

  • Advanced proficiency in Azure Data Factory (ADF).
  • ETL design and implementation.
  • Data pipeline architecture.
  • Data integration techniques.
  • SQL Server (complex queries, optimization, stored procedures).
  • Python (data processing, automation).
  • Intermediate experience with Snowflake (data warehousing concepts, query optimization).
  • Power BI (data modeling, DAX basics).
  • Strong understanding of data modeling, data quality, and performance tuning.
  • Excellent problem-solving and communication skills.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize data solutions that enable advanced analytics and business intelligence. This role requires expertise in Azure Data Factory (ADF), ETL processes, and data pipeline development, along with strong proficiency in SQL Server and Python. The ideal candidate will also have intermediate experience with Snowflake and Power BI to support data integration and visualization needs.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelinesand ETL workflows using Azure Data Factory.
  • Implement robust data integration solutionsacross multiple sources and platforms.
  • Optimize and manage SQL Server databases, ensuring high performance and reliability.
  • Develop Python scriptsfor data transformation, automation, and advanced analytics.
  • Collaborate with stakeholders to understand data requirements and deliver actionable insights.
  • Integrate data into Snowflakefor cloud-based storage and analytics.
  • Support Power BIdashboards and reports by ensuring data availability and quality.
  • Ensure compliance with data governance, security, and best practices.

Required Skills & Qualifications

  • Advanced proficiencyin:

o Azure Data Factory (ADF)

o ETL design and implementation

o Data pipeline architecture

o Data integration techniques

o SQL Server (complex queries, optimization, stored procedures)

o Python (data processing, automation)

  • Intermediate experiencewith:

o Snowflake (data warehousing concepts, query optimization)

o Power BI (data modeling, DAX basics)

  • Strong understanding of data modeling, data quality, and performance tuning.
  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Experience with Azure ecosystem(Data Lake, Synapse, etc.).
  • Familiarity with CI/CD pipelinesfor data solutions.
  • Knowledge of cloud security best practices.

Education & Experience

  • Bachelor s or Master s degree in Computer Science, Data Engineering, or related field.
  • 10 to 15 years of experience in data engineering.
Apply
Similar Jobs
Loading data...