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Position Details: Data Engineer

Location:
Openings: 1
Salary Range:

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)

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