Dimension Data

1 week ago

Power BI & Snowflake Developer / Data Analytics Engineer - Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Design, develop, and deliver scalable Power BI and Snowflake data analytics solutions. Build and optimize Power BI dashboards and reports, including DAX measures and Power Query transformations, while working extensively with Snowflake warehousing, schema design, and query performance tuning. Write efficient SQL, stored procedures, and scripts for extraction, transformation, and analysis, and use Python for data processing, automation, validation, and analytics workflows. Collaborate with stakeholders on BI best practices and usability.

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain interactive Power BI dashboards and reports.
•Build and optimize data models, DAX calculations/measures, and Power Query transformations.
•Develop and tune Snowflake data warehousing solutions, including performance and query optimization.
•Write SQL queries and create stored procedures/scripts for data extraction, transformation, and analysis.
•Use Python for data processing, automation, validation, and analytics workflows.

Key Requirements

•3 to 5 years of experience in BI, data analytics, or data engineering roles.
•Strong hands-on experience with Power BI: dashboard/report development, DAX, Power Query, and data modeling.
•Strong Snowflake expertise across data warehousing, SQL development, query optimization, schema design, and Snowflake objects (tables, views, stages, tasks, streams, stored procedures).
•Experience writing efficient SQL queries, stored procedures, and scripts for data extraction, transformation, and analysis.
•Hands-on Python skills for data processing, automation, validation, and analytics use cases, with good stakeholder communication.

Experience:4-5 yearsData analyticsBusiness intelligenceData engineering

Skills:CommunicationStakeholder management

Tech Stack:Power BIDAXPower QueryData modelingSnowflakeSQLPythonStored proceduresPower Query transformations

Company Brief

Dimension Data

Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn

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Dimension Data

1 week ago

Power BI & Snowflake Developer / Data Analytics Engineer - Developer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 17 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain interactive Power BI dashboards and reports.
•Build and optimize data models, DAX calculations/measures, and Power Query transformations.
•Develop and tune Snowflake data warehousing solutions, including performance and query optimization.
•Write SQL queries and create stored procedures/scripts for data extraction, transformation, and analysis.
•Use Python for data processing, automation, validation, and analytics workflows.

Key Requirements

•3 to 5 years of experience in BI, data analytics, or data engineering roles.
•Strong hands-on experience with Power BI: dashboard/report development, DAX, Power Query, and data modeling.
•Strong Snowflake expertise across data warehousing, SQL development, query optimization, schema design, and Snowflake objects (tables, views, stages, tasks, streams, stored procedures).
•Experience writing efficient SQL queries, stored procedures, and scripts for data extraction, transformation, and analysis.
•Hands-on Python skills for data processing, automation, validation, and analytics use cases, with good stakeholder communication.

Experience:4-5 yearsData analyticsBusiness intelligenceData engineering

Skills:CommunicationStakeholder management

Tech Stack:Power BIDAXPower QueryData modelingSnowflakeSQLPythonStored proceduresPower Query transformations

Company Brief

Dimension Data

Industry: Professional Services

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Established Company

Valuation: Public Company (Market Cap in USD)

Headquarters: London, United Kingdom

Founded: 1983

Website LinkedIn