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Honeybee Tech Solutions

Financial Reporting Data engineer

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Summary

Senior Azure data engineer (placed via Honeybee Tech Solutions for client Atlas Copco) building finance-domain reporting solutions: ETL pipelines with Azure Data Factory/Synapse, complex SQL Server queries, and Power BI dashboards, while mentoring a junior Power BI developer.

Job Summary

We are looking for a proactive and detail-oriented Data Engineer with at least 2 years of hands-on experience in building and managing data solutions using Microsoft Azure, SQL, and Power BI, primarily within the Finance domain.

The role involves developing scalable data solutions, creating high-quality Power BI dashboards, mentoring a junior Power BI developer, and continuously exploring new technologies and best practices.

The candidate will work closely with colleagues across VTBA and the broader Atlas Copco Group.

Position Details
  • Position: Senior Azure Data Engineer
  • Client: Atlas Copco
  • Experience: 2+ Years
  • Domain: Finance
  • Location: India
  • Interview Rounds: 3
  • Round 1 Technical - Virtual
  • Round 2 Technical - Virtual / F2F
  • Round 3 HR
Must-Have Skills
  • Strong proficiency in Microsoft Azure, including Azure Data Factory, Azure Synapse, Azure Blob Storage
  • Strong experience with SQL Server and complex SQL queries
  • Hands-on experience with Power BI - DAX, Data Modelling, and Dashboard Development
  • Experience mentoring and supervising junior team members
  • Familiarity with Git/version control
  • Experience working in Agile development environments
  • Strong problem-solving and analytical skills
  • Excellent communication and stakeholder-management skills
Additional Skills
  • Self-motivated and proactive
  • Strong team player with the ability to collaborate across teams
  • Excellent attention to detail and organizational skills
  • Ability to explain technical concepts to non-technical audiences
  • Strong written and verbal communication skills
  • Ability to manage multiple requests and prioritize effectively
  • Ability to understand business requirements and convert them into technical solutions
  • Results-oriented approach with a focus on delivering business value
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory and related Azure services.
  • Write optimized SQL queries for data extraction, transformation, and reporting.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
  • Develop and maintain Power BI dashboards and reports for various business units.
  • Mentor and supervise a Junior Power BI Developer, ensuring adherence to best practices and timely delivery.
  • Monitor data quality, integrity, and performance across data systems.
  • Implement data governance and security protocols in accordance with organizational standards.
  • Follow organizational policies related to quality, safety, security, and environmental standards.
  • Maintain workplace and equipment according to 5S principles.
  • Continuously enhance technical knowledge and stay updated with emerging technologies and best practices.

Skills

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See also

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