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.

Data Engineer / BI Developer (Principal engineer)

Data Engineer / BI Developer (Principal Engineer)