Description:
Title - Data Engineer
Skill – Data Engineer
Location : Hyderabad
Shift : 11:00 AM to 8:00 PM or 2:00 PM to 11:00 PM
Work Mode – Hybrid
Employment – CTH
• Qualifications
• *Required:
• - *Education:
• - Degree in business / engineering / math with a focus in quantitative
methods and/or equivalent working experience in the data, reporting &
analytics space
• *Interpersonal
Skills:
• - Strong verbal and written communication skills in English
• Strong numerical and analytical skills
• Ability to use initiative and to work effectively under pressure, in
the face of conflicting and/or short deadlines.
• Ability to focus on the end goal and quickly adapt to changing
business priorities.
• Build relationships, share new ideas.
• Attention to detail with an ability to take ownership, make decisions,
and execute them.
• Excellent team player with experience working in virtual teams.
• *Professional
Experience:
• - Extensive (3+ Years) experience in designing, developing,
and maintaining robust data pipelines using SSIS (SQL Server Integration
Services), ensuring seamless integration and transformation of data from
diverse sources.
• Proficient in implementing and monitoring data quality frameworks,
performing data validation, cleansing, and reconciliation to ensure
accuracy and reliability across integrated systems.
• Skilled in orchestrating end-to-end ETL processes, leveraging SSIS for
data extraction, transformation, and loading, as well as automating
workflows through CI/CD pipelines for streamlined deployment and
maintenance.
• Advanced skills in DAX and M Query for complex data modeling,
calculations, and transformation within Power BI.
• 2+ years of hands-on experience with MS SQL Server (2019/2022),
including query optimization, transaction management, stored procedures,
functions, triggers, and views, with a strong focus on performance tuning
and troubleshooting.
• Proven ability to integrate and manage data from multiple sources,
utilizing SSIS and other tools to support business intelligence and
analytics initiatives.
• Advanced skills in DAX and M Query for complex data modeling,
calculations, and transformation within Power BI.
• Experience in scheduling and managing data refresh
cycles, optimizing report performance, and reducing data load times for
enhanced user experience.
• Successfully delivered at least two end-to-end data
engineering projects, from requirements gathering to deploying the
product.
• *Technical Skills Levels:
• - Advanced Technical documentation
• Advanced SSIS & CI/CD
Advanced MS Sql Server (2019/2022)