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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and infrastructure, with proficiency in cloud platforms like Google Cloud and AWS. Strong capabilities in SQL, data governance, and collaboration with data scientists for optimizing data models.
Highest-signal resume keywords
Google Cloud Platform (GCP)SQL ProficiencyBig Data Technologies (Hadoop, Spark, Hive)Data Governance ImplementationData Modeling for Analytics
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines and infrastructure for processing and analyzing large, complex data sets
- Develop and maintain automated data processing pipelines using Google Cloud
- Support data ingestion, ETL, and storage
- Monitor data quality and troubleshoot issues
- Implement and maintain databases and data storage solutions
- Stay up-to-date with emerging trends and technologies in big data and data engineering
- Ensure data quality, accuracy, and completeness
- Implement and enforce data governance policies and procedures
- Collaborate with data scientists and analysts to design and optimize data models for analytical and reporting purposes
- Develop and maintain data models to support analytics and reporting
- Monitor and maintain data infrastructure to ensure availability and performance
- Spend time on site at company offices or client locations for collaboration sessions, customer meetings, and internal workshops
Requirements
What you’ll need- Experience with cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP)
- Proficiency in SQL
- Experience with relational databases such as MySQL, PostgreSQL, or Oracle
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
- Proficiency in at least one programming language such as Python, Java, or Scala
- Strong analytical and problem-solving skills
- Ability to work independently and in a team environment
Benefits
Comp & perks- Competitive base salary
- De Minimis Allowance
- 13th Month Pay: Equivalent to one month’s base salary, paid every December
- Medical Insurance: HMO coverage for the employee plus up to two dependents (employer-paid)
- Sick Leave: 15 paid days per year, pro-rated from the start date
- Annual Leave: 28 days per calendar year, pro-rated based on start date
- Birthday Leave: An extra paid day off for your birthday
- Learning Leaves: Ten paid learning days per year
- Philippine Public Holidays: Statutory holidays are included
- Bereavement Leave: 3 paid days
- Parental Leave: Maternity or Paternity leave
- Flexible Work Arrangement: Hybrid model (two to three days in the office)
- Peer Recognition: 100 Bonusly points per month for peer recognition
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentETL ProcessesDatabase ManagementData Quality MonitoringRelational Databases (MySQL, PostgreSQL, Oracle)Programming (Python, Java, Scala)Data WarehousingData Storage SolutionsData Infrastructure MonitoringAutomated Data Processing
Soft Skills
Analytical SkillsProblem-SolvingTeam CollaborationIndependent Work
Tools & Technologies
Amazon Web Services (AWS)Apache AirflowGoogle BigQueryAmazon Redshift
Industry Keywords
Data EngineeringData Governance PoliciesData Quality AssuranceData Ingestion