Siegen HR Solutions, Inc.

Data Engineer and Data Scientists

Mandaluyong City

FULL TIME

November 29, 2024

Advance Your Leadership Career in Data and Tech! We’re Hiring Data Engineers and Data Scientists!
Are you a tech-savvy problem solver with a passion in unlocking the power of data? We’re hiring Data Engineers and Data Scientists to join a dynamic team and transform how data is used.
We’re seeking professionals specializing in Data Architecture, Data Modeling, Data Warehousing with proficiency in Big Data Tools (SQL, Big Query, Snowflake, Power BI, Tableau) and strong skills in Machine Learning & Data Analysis to join our dynamic team! If you’re ready to take on new technologies and data processes, this is the opportunity for you!
About SIEGEN SOLUTIONS:
Siegen Solutions specializes in partnering technology-focused clients by connecting them with top-tier talents. Our commitment lies in bridging the gap between exceptional candidates and cutting-edge technologies. At Siegen Solutions, we understand that success hinges on the right people with the right expertise. We're here to match skilled candidates with opportunities that align perfectly with their technological prowess.
Job Description:
  • Responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing.
  • Creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using Google Big Query.
  • Applying your knowledge of technologies, applications, methodologies, processes, and tools to support a client, project, or entity.
  • Design, develop, and maintain data solutions for data generation, collection, and processing using Google Big Query.
  • Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.
  • Collaborate with cross-functional teams to identify and resolve data-related issues.
  • Develop and maintain data models, data dictionaries, and data flow diagrams.
  • Based in or willing to relocate to Metro Manila (Mandaluyong City).
Skills and Qualifications:
  • Strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions
  • At least 2 years of experience in Data Analysis, Data Science, Data Visualization, and/or Data Architecture.
  • At least 2 years of experience in Google Big Query, Snowflake Data Warehouse, SQLUnit, Tableau, Power BI
  • At least 2 years of experience in SQL Databases, No SQL databases, and ETL technologies and processes.
  • At least 2 years of experience with cloud-based data platforms such as Google Cloud Platform or Microsoft Azure Data Services.
  • Strong understanding of software development methodologies, processes, and tools.
  • Experience in designing and developing data solutions using ETL tools.
  • Experience in testing, debugging, and troubleshooting software systems.
  • Experience in collaborating with cross-functional teams.
  • Strong understanding of data modeling, data warehousing, and data integration concepts.
  • Knowledge of data governance frameworks and practices (nice to have).
What’s in it for you?
  • Healthcare Insurance (HMO) & Life Insurance coverage from day 1 of employment
  • Expanded maternity leave up to 120 days*
  • Expanded paternity leave up to 30 days*
  • Employee Stock Purchase Pan
  • Loyalty and Christmas Gift
  • Inclusion and Diversity Benefits
  • Night Differential
  • Allowances
  • Car and housing plan
  • Company-sponsored trainings like upskilling and certification
  • Flexible Working Arrangements
  • Healthy and Encouraging Work Environment
  • *Terms and conditions apply
Job Types: Full-time, Permanent
Schedule:
  • Fixed shift
Application Question(s):
  • Have you had any recent application or employment with the following companies: Accenture Philippines, DXC Technology, Rizing, IBM? If yes, please indicate: Yes - (Specific Company)
Experience:
  • SQL and ETL: 2 years (Required)
  • Google Big Query: 2 years (Required)
  • Snowflake Data Warehouse: 2 years (Required)
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