Data Engineer

AI overview

Support the Finance department by building and maintaining data pipelines, developing dashboards, and delivering scheduled reports while optimizing ETL processes for performance.

Data Engineer


Experience: More than 2 years

Job Mode: Contract

Work Mode: Hybrid 

                                                                                                                                            

Job Summary

We are seeking a skilled and detail-oriented Mid-Level Data Engineer to join our team. This role is pivotal in supporting the Finance department by building and maintaining data pipelines, developing dashboards, and delivering scheduled reports. The ideal candidate will have strong experience in ETL processes, Power BI, and Excel Macros, with a passion for transforming data into actionable insights.

Key Responsibilities:

  • Design, build, and maintain data pipelines to support reporting and analytics needs.
  • Develop and automate Power BI dashboards and Excel-based reports using Macros.
  • Collaborate with Finance stakeholders to understand reporting requirements and deliver at least 3 custom reports per month.
  • Implement scheduled data refreshes and ensure data accuracy and consistency across reports.
  • Optimize ETL processes for performance and scalability.
  • Troubleshoot and resolve data-related issues in a timely manner.
  • Ensure documentation of data workflows, report logic, and dashboard configurations.

Required Qualifications:

  • 2–4 years of experience in a data engineering or business intelligence role.
  • Proficiency in Power BI (including DAX and Power Query).
  • Strong knowledge of ETL tools and processes.
  • Experience with Excel Macros (VBA) for automation.
  • Familiarity with SQL and data modeling concepts.
  • Excellent problem-solving skills.
  • Ability to understand business needs and translate them into technical solutions.
  • Ability to work independently and manage multiple tasks in a fast-paced environment.
  • Excellent communication and documentation skills.

Preferred Qualifications:

  • Experience working with financial data.
  • Knowledge of cloud-based data platforms (e.g., Azure Data Factory, AWS Glue) is a plus.

 

 

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 

 

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

 

Encora specializes in delivering customized software engineering solutions and digital product development services to fast-growing technology firms, leveraging advanced technologies to foster innovation and growth across various industries.

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