Senior Data Engineer
Senior Data Engineer
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1 Vacancy
Job Description
Transform Your Career Globally: Senior Azure Engineer Role Awaiting!
Our client is a trailblazer in IT consulting specializing in cloud transformation and cuttingedge AI solutions. They develop nextgeneration cloudnative software powered by artificial intelligence and machine learning aimed at unlocking new possibilities for their partners. Their mission is to support clients through seamless cloud migration and modernization enhancing cybersecurity and optimizing IoT solutions. By delivering advanced software solutions they empower organizations to predict control and innovate within their digital landscapes. Their focus on fearless transformation and automation ensures they lead the way in IT excellence and innovation landscapes with AI automation at the core.
As a Senior Data Engineer you will design develop and maintain complex SQL queries to ensure efficient data retrieval and manipulation. You will also create and manage stored procedures handle connectivity updates and oversee various database administration tasks to ensure optimal performance and reliability.
Shift: Shifting
Work Setup: Hybrid Makati/Ortigas
Salary: Up to PHP 200000
Perks: Day 1 HMO Abovemarket salary Global exposure
- Design develop and maintain complex SQL queries to ensure efficient data retrieval and manipulation.
- Create and manage stored procedures handle connectivity updates and oversee database administration tasks.
- Utilize PowerBI to develop and present insightful reports and visualizations.
- Apply Python for data processing automation and building data pipelines.
- Present data findings effectively to stakeholders and translate complex data into actionable insights.
- Stay updated with machine learning concepts and incorporate them into data strategies where applicable.
- Manage code through GitHub and implement CI/CD pipelines to streamline development processes.
Requirements
Your Service Excellence Toolkit
- Minimum of 5 years of experience in data engineering or a related field.
- Proficiency in SQL with a strong understanding of data structures and experience with stored procedures and database administration.
- Expertise in PowerBI for reporting and data visualization.
- Proficient in Python for data processing and automation tasks.
- Ability to present data clearly and effectively to both technical and nontechnical stakeholders.
- Knowledge of machine learning concepts and their applications in data engineering.
- Experience with GitHub code management and CI/CD practices.
- Advanced knowledge of machine learning techniques and their practical applications.
- Additional certifications related to data engineering or data science.
Benefits
Perks That Keep You Motivated
- HMO coverage upon hire
- Competitive Package
- Hybrid work arrangement
- Prime office location (Makati/Ortigas)
- Standard government and Emapta benefits
- Unlimited opportunities for employee referral incentives across the organization
- Total of 20 annual leaves to be used on your own discretion
- Fun engagement activities for employees
- Mentorship and exposure to global leaders and teams
- Upskilling through Emapta Academy
- Career growth opportunities
- Diverse and supportive work environment
Who are we
Discover a world of possibilities at Emapta where your career takes flight in stability and growth. Join a team that thrives on camaraderie supporting each other to achieve excellence together. Experience the satisfaction of being recognized for your contributions with competitive compensation packages that reflect your skills and commitment. Immerse yourself in a positive work culture that encourages collaboration innovation and personal development. We provide you with the platform for your success empowering you to reach new heights in a supportive and inclusive environment.
With a wide roster of international clients from various industries and a proven track record of success Emapta offers a stable foundation for your career. Team up with likeminded professionals who are passionate about making a meaningful impact through premium global opportunities at your fingertips. Apply now and create a better future with us.
#EmaptaExperience
Your Service Excellence Toolkit Minimum of 5 years of experience in data engineering or a related field. Proficiency in SQL, with a strong understanding of data structures and experience with stored procedures and database administration. Expertise in PowerBI for reporting and data visualization. Proficient in Python for data processing and automation tasks. Ability to present data clearly and effectively to both technical and non-technical stakeholders. Knowledge of machine learning concepts and their applications in data engineering. Experience with GitHub, code management, and CI/CD practices. Advanced knowledge of machine learning techniques and their practical applications. Additional certifications related to data engineering or data science.
Employment Type
Full Time
