Job Description

Role: Data Engineer

Location: Remote

Employment Type: 3 month, potential for extension

Role :

• Design, develop, maintain, and optimize business intelligence solutions, ETL workflows, reporting systems, and data integration processes.
• Collaborate with business, analytics, and technical teams to gather requirements and deliver reporting and analytics solutions.
• Develop and maintain data models, SQL scripts, stored procedures, dashboards, and reporting solutions.
• Build, optimize, and support ETL pipelines across on-premises and cloud environments.
• Troubleshoot and resolve complex reporting, data quality, performance, and integration issues.
• Validate reporting logic, data transformations, and reporting accuracy.
• Perform performance tuning for SQL queries, stored procedures, ETL workflows, and reporting platforms.
• Participate in architecture discussions and provide technical recommendations aligned with business objectives.
• Create and maintain technical documentation including solution designs, data mappings, and operational procedures.
• Participate in code reviews and enforce development, reporting, and data governance standards.
• Mentor junior developers through technical guidance and knowledge-sharing activities.
• Support Agile delivery activities including sprint planning, backlog refinement, and project execution.
• Collaborate with stakeholders and leadership teams to support business intelligence initiatives.
• Drive continuous improvement initiatives related to reporting quality, analytics performance, and operational efficiency.

Job-related Experience

• Requires at least 3 years of experience in business intelligence development, software engineering, data engineering, enterprise reporting, or analytics environments.

Mandatory Skills :

• ETL Development, Data Engineering, SQL Server, SQL, Data Modeling, Data Warehousing, Dimensional Modeling, Data Integration, ETL Pipelines, Stored Procedures, Query Optimization, Performance Tuning, Data Quality Management, Analytics, Technical Documentation, Agile Methodology, SDLC, Data Governance, Troubleshooting, Mentoring, Communication Skills, Problem Solving, Python, AI Agent, GenAI/LLM

Desired Skills :

• Oracle ERP Integration, SAP ERP Integration

Skills To Be Evaluated On :

• CI/CD,SQL, Data Engineering, Databricks, PySpark, Medallion Architecture, Data Warehouse, Unity Catalog, Spark SQL

Qualification :

• Bachelor's degree in computer science, Information Systems, Engineering, Data Analytics, AI Agent Engineer, or related technical field required. Technical certifications related to Microsoft BI, Azure Data Engineering, Cloud Analytics Platforms, or equivalent technologies are preferred. Customarily has at least 5 years of experience in business intelligence development, software engineering, data engineering, enterprise reporting, or analytics environments

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