Data Architect

1 week ago

Bengaluru, Karnataka, India Impronics Technologies Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title: Data Architect – Hybrid (3 Days Work from Office)

Location: Brookfield, Bangalore

Job Summary

We are seeking a highly experienced Data Architect with a strong background in IBM DataStage, Power BI, and SAP BOBI 4.3 tools. The ideal candidate should have 10+ years of experience in data architecture, data modeling, ETL processes, and business intelligence reporting, with a focus on designing and optimizing data-driven solutions.

Key Responsibilities

Design, develop, and maintain data architecture solutions supporting business requirements.

Work extensively with IBM DataStage 11.7 for ETL design, development, and optimization.

Develop, enhance, and maintain reports and dashboards using Power BI (Desktop, Server, and Cloud).

Utilize SAP BOBI 4.3 tools (UDT, IDT, Web Intelligence, CMC, Promotion Management) for reporting and analytics.

Write and optimize complex SQL queries; manage data across Oracle and PostgreSQL databases.

Develop and maintain Unix shell scripts for automation and data management tasks.

Design and implement data models, ensuring accuracy, performance, and scalability.

Analyze business requirements and translate them into efficient data solutions and visual insights.

Conduct performance optimization for queries, data pipelines, and reports.

Troubleshoot data and reporting issues independently.

Ensure adherence to data security principles and data governance standards.

Required Skills & Experience

10+ years of experience in Data Architecture, ETL, and BI reporting.

Expertise in IBM DataStage 11.7, Power BI, and SAP BOBI 4.3 tools.

Proficiency in SQL/PLSQL and experience with Oracle and PostgreSQL databases.

Strong understanding of Data Warehousing concepts and Data Modeling (Star/Snowflake schema).

Hands-on experience with Unix Shell Scripting.

Excellent analytical, problem-solving, and troubleshooting skills.

Strong knowledge of RDBMS principles (normalization, de-normalization, relationships, ER diagrams, etc.).

Familiarity with ETL algorithms, data extraction/transformation techniques, and performance optimization.

Good understanding of data security and operating system fundamentals.

Preferred Attributes

Ability to work independently and manage multiple priorities.

Strong communication and collaboration skills.

Analytical mindset with attention to detail.

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