Data Specialist - R01573377

Brillio; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Brillio is seeking a Data Specialist in Hyderabad to design and maintain ETL pipelines and data warehouse solutions. You will work with cross-functional teams to deliver high-quality data for analytics and reporting.

The role requires 4-6 years of experience in ETL development, strong SQL skills, and Python scripting to automate pipelines. On-site role with collaboration across data teams and architects.

Qualifications

• 4-6 years of professional experience with at least 3 years in ETL development
• Design and implement robust ETL workflows to extract, transform, and load data into data warehouses
• Develop, optimize, and maintain advanced SQL queries, stored procedures, and scripts
• Collaborate with data architects and analysts to define data requirements and deliver scalable ETL solutions
• Build and maintain data models and warehousing solutions to support analytics and reporting
• Troubleshoot and resolve ETL issues to ensure data accuracy and reliability
• Automate data pipelines using Python and ETL tools to improve efficiency
• Monitor ETL job performance and improve system performance

Responsibilities

• Design and implement ETL workflows to extract, transform, and load data from multiple sources into data warehouses
• Develop and optimize SQL queries, stored procedures, and scripts for efficient data processing
• Collaborate with data architects and analysts to define data requirements and deliver scalable ETL solutions
• Build and maintain data models and warehousing solutions to support analytics and reporting
• Troubleshoot ETL issues to ensure data accuracy and reliability
• Automate data pipelines using Python and ETL tools to improve operational efficiency
• Monitor ETL performance and perform root-cause analysis for failures
• Document ETL processes and data flows for maintenance and knowledge transfer

Skills

ETL development

SQL

Python

Data Warehousing

Data Modelling

PL/SQL

T-SQL

Stored Procedures

Education

Bachelor's degree in Computer Science or related

Tools

Talend

Boomi

Job description

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. Bachelors 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