The Role
Designs and maintains ETL workflows, data pipelines, SQL queries, stored procedures, data models, and data warehouse solutions. Automates data integration with Python, monitors and optimizes ETL performance, troubleshoots failures, ensures data quality, and documents processes. Collaborates with architects and business analysts to deliver scalable solutions supporting analytics and reporting.
Summary Generated by Built In
Data Specialist
Primary Skills
- ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
- ETL Specialization: Data Engineer
Job requirements
- Experience Range: 4 to 6 years of professional experience, including at least 3 years of hands-on ETL development and data integration, with substantial experience in SQL-based solutions Key Responsibilities: 1. Design and implement robust ETL workflows to extract, transform, and load data from multiple sources into data warehouses, ensuring high data quality and consistency 2. Develop, optimize, and maintain advanced SQL queries, stored procedures, and scripts for efficient data processing and reporting 3. Collaborate with data architects and business analysts to define data requirements and deliver scalable ETL solutions aligned with business objectives 4. Build and maintain data models and warehousing solutions to support analytics and reporting initiatives 5. Troubleshoot and resolve ETL process issues to ensure data accuracy and reliability 6. Automate data pipelines using Python and ETL tools to improve operational efficiency 7. Monitor ETL job performance, conduct root cause analysis for failures, and implement improvements for optimal system performance 8. Document ETL processes and data flows to support ongoing maintenance and knowledge transfer Required Skills: 1. ETL development using tools such as Talend or Boomi 2. Advanced SQL for query optimization and complex data manipulation 3. PL/SQL programming for Oracle-based data integration 4. T-SQL scripting for Microsoft SQL Server environments 5. Python scripting for ETL automation and data processing 6. Data warehousing implementation and maintenance 7. Relational and dimensional data modeling 8. Stored procedure development for data transformation 9. Performance tuning of ETL workflows and SQL queries Preferred Skills: 1. Knowledge of cloud-based data integration solutions 2. Familiarity with big data technologies such as Hadoop or Spark 3. Exposure to real-time data streaming and ingestion frameworks Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline 2. Certification in ETL or data integration technologies such as Talend Data Integration, Informatica, or Microsoft Certified: Azure Data Engineer Associate 3. Certification in SQL or database technologies such as Microsoft SQL Server or Oracle PL/SQL Developer Certified Associate
Skills Required
- 4 to 6 years of professional experience
- At least 3 years of hands-on ETL development and data integration experience
- Advanced SQL, including query optimization and complex data manipulation
- ETL development using Talend or Boomi
- PL/SQL programming for Oracle-based data integration
- T-SQL scripting for Microsoft SQL Server
- Python scripting for ETL automation and data processing
- Data warehousing implementation and maintenance
- Relational and dimensional data modeling
- Stored procedure development for data transformation
- Performance tuning of ETL workflows and SQL queries
- Knowledge of cloud-based data integration solutions
- Familiarity with Hadoop or Spark
- Exposure to real-time data streaming and ingestion frameworks
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related discipline
- Certification in ETL or data integration technologies such as Talend, Informatica, or Azure Data Engineer Associate
- Certification in SQL or database technologies such as Microsoft SQL Server or Oracle PL/SQL
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
