Data Specialist - R01573377

Brillio; Andhra Pradesh; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Brillio is seeking a Data Specialist in India to design and implement robust ETL workflows, optimize complex SQL queries, and maintain data warehouses for analytics. You will collaborate with data architects to define requirements and build scalable data models.

The role emphasizes automation with Python, troubleshooting ETL processes, and documenting data flows for ongoing maintenance and knowledge transfer. A strong foundation in data engineering is required.

Qualifications

• 4 to 6 years of professional experience with at least 3 years in ETL development and data integration.
• Design and implement ETL workflows to load data into data warehouses with high data quality.
• Develop and optimize advanced SQL queries, stored procedures, and scripts.
• Collaborate with data architects and analysts to define data requirements.
• Build and maintain data models and warehousing solutions for analytics.
• Automate data pipelines using Python and ETL tools to improve efficiency.
• Monitor ETL performance and perform root cause analysis for failures.
• Document ETL processes and data flows for maintenance and transfer.

Responsibilities

• Design and implement ETL workflows to extract, transform, and load data into data warehouses.
• Develop, optimize, and maintain SQL queries, stored procedures, and scripts.
• Collaborate with data architects and analysts to define data requirements.
• Build and maintain dimensional models and warehousing solutions.
• Automate pipelines using Python and ETL tools to improve efficiency.
• Monitor ETL job performance and resolve failures promptly.

Skills

ETL development

Advanced SQL

Python scripting

Data warehousing concepts

Data modelling fundamentals

Stored procedures

Performance tuning

Cloud data integration

Hadoop/Spark familiarity

Education

Bachelor's degree in Computer Science or related

Tools

Talend

Boomi

Oracle PL/SQL

T-SQL

Job description

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