We are hiring a hands-on Technical Architect with robust expertise in Data Engineering and/or BI Visualization . The role involves designing scalable data solutions, guiding teams, and delivering high-performance analytics platforms aligned to business needs.
Requirements Must-Have Requirements (Critical)
6+ years in Data Analytics / BI domain
Robust hands-on experience in Data Engineering (ETL/ELT, SQL, Python/PySpark)
Expertise in at least one BI tool (Power BI / Tableau / Qlik / Looker)
Experience with Cloud platforms (AWS / Azure / GCP)
Experience with Data Warehousing (Snowflake / Redshift / BigQuery)
Proven experience in solution design / architecture (end-to-end data pipelines)
Ability to work in client-facing roles
Key Responsibilities
Solution Architecture
Design end-to-end data pipelines (ingestion transformation visualization)
Define scalable, secure, and high-performance architectures
Data Engineering
Build and optimize ETL/ELT pipelines
Work with large-scale structured & unstructured data
Ensure data quality, performance, and governance
Data Visualization
Design enterprise dashboards and data models
Translate business needs into analytics solutions
Technical Leadership
Guide developers, conduct reviews, enforce standards
Mentor team members and drive best practices
Stakeholder Management
Engage with clients, run requirement workshops
Provide estimations and solution approaches
Technical Skills
Data Engineering: Python / PySpark / SQL, ETL tools
Others (Positive to Have): Data Modeling, APIs, CI/CD, Git, Agile
Education
Bachelor/ Masterin Computer Science, IT, or related field
Ideal Profile
Strong problem-solving and analytical mindset
Balance of hands-on + architecture capability
Excellent communication and stakeholder handling
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