
Data Engineer
"Are you a data enthusiast with a passion for problem-solving and innovation? Do you thrive in a fast-paced environment and have a knack for turning complex data into actionable insights? If so, IBM is looking for a talented Data Engineer to join our dynamic team. As a Data Engineer at IBM, you will play a crucial role in designing, building and maintaining cutting-edge data solutions for our clients. We are seeking a highly skilled individual with a strong background in data engineering and a proven track record of delivering successful data projects. If you are ready to take on new challenges and make a significant impact in the world of data, we want to hear from you!"
- Design and develop data solutions for clients using cutting-edge technologies and methods.
- Collaborate with cross-functional teams to understand business requirements and translate them into data engineering solutions.
- Build and maintain data pipelines, data warehouses, and data lakes to support data analysis and reporting.
- Perform data cleansing, manipulation, and transformation to ensure high-quality and reliable data.
- Develop and implement data governance policies and procedures to ensure data security and compliance.
- Monitor and troubleshoot data processes to identify and resolve any issues or errors.
- Stay updated on industry trends and advancements in data engineering to continuously improve and enhance data solutions.
- Utilize programming languages and tools such as SQL, Python, and Hadoop to extract, transform, and load large datasets.
- Collaborate with data scientists and analysts to develop data models and algorithms for predictive and prescriptive analytics.
- Communicate complex technical concepts and solutions to non-technical stakeholders in a clear and concise manner.
- Take ownership of data projects and ensure timely delivery of high-quality solutions.
- Continuously evaluate and improve data engineering processes, tools, and methodologies to increase efficiency and effectiveness.
- Mentor and train junior data engineers to enhance their skills and knowledge in data engineering.
- Adhere to data privacy and security protocols to protect sensitive information.
- Conduct data analysis and provide actionable insights to support business decision-making.
Excellent Problem-Solving And Analytical Skills.
Proficiency In Programming Languages Such As Python, Java, Or Scala.
Bachelor’s Degree In Computer Science, Engineering, Or A Related Field.
Extensive Experience In Working With Big Data Technologies Such As Hadoop, Spark, Or Kafka.
Strong Understanding Of Data Warehousing And Database Concepts.
Database Management
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Data Mining
Big data processing
Programming Languages
ETL (Extract, Transform, Load)
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Problem Solving
Time management
creativity
Teamwork
Active Listening
Adaptability
According to JobzMall, the average salary range for a Data Engineer in Quezon City, Metro Manila, Philippines is between ₱ 40,000 - ₱ 80,000 per month. However, this can vary depending on factors such as experience, skills, and the specific company or industry the data engineer is working in. In some cases, highly skilled and experienced data engineers may earn higher salaries, while entry-level engineers may earn lower salaries.
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International Business Machines Corporation is an American multinational information technology company headquartered in Armonk, New York, with operations in over 170 countries.

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