Senior Data Engineer
Senior Data Engineer
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Job Description
Business Unit Mission:
M3 Global Research an M3 company is seeking a Senior Data Engineer to join our data engineering team. This role will focus on building and maintaining robust data pipelines working closely with stakeholders to ensure data solutions align with business objectives and utilizing tools like Power BI for data visualization and reporting. The ideal candidate has strong analytical skills a passion for datadriven decisionmaking and excellent communication abilities to work effectively with stakeholders across the organization.
Essential Duties and Responsibilities:
Include but are not limited to:
- Design develop and maintain highquality secure data pipelines and processes to manage and transform data efficiently.
- Lead the architecture and implementation of data models schemas and integrations that support business intelligence and reporting needs.
- Collaborate with crossfunctional teams to understand data requirements and deliver optimal data solutions that align with business goals.
- Maintain and enhance data infrastructure including data warehouses lakes and integration tools.
- Provide guidance on best practices for data management security and compliance.
- Support Power BI and other visualization tools ensuring consistent and reliable access to data insights.
- Oversee the delivery of data initiatives ensuring they meet project milestones KPIs and deadlines.
Essential Job Functions:
- Maintain regular and punctual attendance.
- Work cooperatively and communicate effectively with team members and stakeholders.
- Comply with all company policies and procedures.
Supervisory Responsibility:
- Yes
Outcomes:
- Deliver highquality reliable data solutions.
- Provide stakeholders with clear and actionable insights through Power BI reports.
- Ensure data pipelines and ETL processes are optimized and running efficiently.
- Foster strong relationships with stakeholders to ensure their data needs are met.
Competencies:
- Attention to detail.
- Analytical thinking and problemsolving skills.
- Strong communication and interpersonal skills to engage effectively with stakeholders.
- Ability to work in a fastpaced agile environment.
Knowledge and Skills:
- Proficiency with data engineering tools and technologies (e.g. SQL Python ETL tools).
- Strong experience with Power BI for data visualization and reporting.
- Familiarity with cloudbased data platforms (e.g. AWS Azure Google Cloud).
- Experience with data modeling data warehousing and designing scalable data architectures.
- Strong knowledge of database systems (e.g. SQL Server Oracle PostgreSQL).
- Experience working in an Agile development environment.
- Excellent communication skills to work effectively with both technical and nontechnical stakeholders.
- Ability to multitask and manage multiple projects simultaneously.
- Problemsolving mindset with a desire to continuously improve data processes.
Minimum Experience:
- 5 years of experience in data engineering or related fields.
- 2 years of experience with Power BI or similar data visualization tools.
Qualifications :
Education and Training Required:
- Bachelors degree in computer science Data Science or a related field or equivalent experience.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
