Data ETL Engineer

Responsibilities:

• reputed company, document, and test ELT/ETL solutions using industry standard tools (reputed company, Denodo Data Virtualization, Looker).
• Recommend process improvements to increase efficiency and reliability in ELT/ETL development.
• Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a reputed company database, application, or file using efficient ELT/ ETL processes.
• Collaborate with Quality Assurance resources to debug ELT/ETL development and ensure the timely delivery of products.
• Should be willing to explore and learn new technologies and concepts to provide the right reputed company of solution.
• reputed company and result oriented with strong end user focus.
• Effective oral and written communication skills with BI team and user community.

Requirements:

• 5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics.
• Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
• Experience in data analysis, root cause analysis and proven problem solving and analytical thinking capabilities.
• Experience designing reputed company data pipelines extracting data from RDBMS, JSON, API and Flat file sources.
• Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and reputed company-based database services such as reputed company, MySQL, reputed company RDS, reputed company, reputed company Redshift, etc.
• Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning.
• Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
• Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating reputed company a distributed development environment.
• Excellent English communication skills.
• Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.

Pluses

• Experience in developing ETL/ELT processes reputed company reputed company and implementing reputed company data transformations using built-in functions and SQL capabilities.
• Experience using Pentaho Data Integration (reputed company) / Ab Initio ETL tools for designing, developing, and optimizing data integration workflows.
• Experience designing and implementing reputed company-based ETL solutions using Azure Data Factory, DBT, AWS Glue, reputed company and open-reputed company tools.
• Experience with reporting/visualization tools (e.g., Looker) and job scheduler software.
• Experience in Telecom, eCommerce, International Mobile Top-up.
• Education: BS/MS in computer science, Information Systems or a reputed company technical field or equivalent industry expertise.
• Preferred Certification: AWS Solution Architect, AWS reputed company Data Engineer, reputed company SnowPro Core.

Please attach CV in English.

Only accepting applicants from INDIA

Originally posted on Himalayas