Data Engineer / BI Developer (Principal Engineer)

Key Responsibilities:

Data Engineering:

• Design, develop, and maintain large-scale data warehouses and ETL pipelines using tools such as SSIS, Power Automate, and other relevant technologies.
• Create and implement data models to improve data accessibility and ensure consistency across systems.
• Develop and enforce data governance policies to maintain high data quality, security, and compliance.
• Collaborate with cross-functional teams including product, sales, and business stakeholders to refine and prioritize data requirements.

Business Intelligence Development:

• Design, develop, and maintain business intelligence solutions using tools like Power BI and Pyramid Analytics.
• Build effective data visualizations, reports, and dashboards to support data-driven decision-making.
• Write efficient DAX (Data Analysis Expressions) scripts to meet complex reporting and business needs.
• Translate business requirements into actionable BI solutions through close engagement with stakeholders.
• Manage and optimize BI features such as data subscriptions and alerts to support operational effectiveness.

Collaboration & Leadership:

• Work closely with cross-functional teams to ensure alignment of data initiatives with business goals.
• Provide technical leadership and mentorship to junior team members to foster skill development and problem-solving capabilities.
• Actively participate in Agile methodologies including sprint planning, daily stand-ups, and retrospectives for successful project execution.

Qualifications:

• Proven experience in data engineering, data warehouse management, and ETL pipeline development.
• Strong hands-on experience with Power BI, Pyramid Analytics, and other BI tools.
• Proficiency in SSIS, Power Automate, and related data integration tools.
• In-depth knowledge of data modelling, governance, and quality management practices.
• Demonstrated experience in writing SQL and DAX.
• Strong communication and interpersonal skills to effectively engage with technical and non-technical stakeholders.
• Experience in leading or mentoring teams and promoting engineering best practices.
• Familiarity with Agile and Scrum methodologies.

Preferred Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• MCA or Bachelor's in Engineering or equivalent.
• Experience with cloud platforms, preferably Microsoft Azure.

Personal Skills:

• Excellent analytical and problem-solving skills.
• Strong verbal and written communication abilities.
• Ability to clearly articulate and present perspectives on technical and business topics.
• Eagerness to continuously learn and upskill in both technical and functional domains.