We are seeking a highly skilled Data Architect & ETL Engineer with a strong understanding of data, SQL expertise, and experience in ETL transformations and analytics tools. The ideal candidate will design, implement, and manage scalable data architectures and ETL pipelines that enable high-quality business intelligence and analytics solutions.

Key Responsibilities

Design and implement scalable data architectures to support analytics, data integration, and reporting.
Develop and maintain ETL pipelines using Pentaho or other ETL transformation tools.
Ensure efficient data flow by collaborating with business analysts, data scientists, and application teams.
Optimize SQL queries and build efficient data models for reporting and data warehousing (e.g., star/snowflake schema).
Implement data governance, quality control, and security measures.
Develop interactive reports and dashboards using Tableau, QuickSight, or Power BI.
Monitor and troubleshoot data pipelines to ensure high availability and reliability.
Document data flows, ETL processes, and architectural designs.

Required Skills and Qualifications

Bachelor's or Master’s degree in Computer Science, Information Systems, or a related field.
5+ years of experience in data engineering, ETL development, or data architecture.
Strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle).
Hands-on experience with Pentaho or similar ETL transformation tools.
Experience with Tableau, QuickSight, or Power BI for data visualization and reporting.
Knowledge of data modeling, data warehousing, and BI best practices.
Understanding of data governance, metadata management, and data security.
Strong problem-solving and communication skills.

Preferred Skills

Experience with cloud platforms (AWS, Azure, or GCP) and cloud-based data services.
Experience in Python or Java for data transformation and automation.
Knowledge of CI/CD pipelines for data workflows.

Why Join Us?

Amazing Team
High Impact Projects
Fintech - Learnings like anything

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