Senior Data Engineer

1 day ago

Manila, National Capital Region, Philippines Unient Full time ₱1,200,000 - ₱2,400,000 per year

We are looking for an experienced Data Engineer to design, build, and optimize data pipelines and architectures in the cloud. You'll work with cutting-edge technologies, turning raw data into actionable insights that drive business decisions.

KEY RESPONSIBILITIES:

  • Design, build, and maintain scalable data pipelines and ETL processes on AWS.
  • Work with AWS services such as Redshift, S3, Glue, Lambda, EMR, and Athena to manage and process large volumes of data.
  • Collaborate with Data Analysts, Data Scientists, and stakeholders to understand data requirements and deliver solutions.
  • Optimize data storage, performance, and cost-efficiency in the cloud environment.
  • Implement data quality and governance practices to ensure accuracy, consistency, and reliability.
  • Stay updated on AWS technologies and data engineering best practices.
  • Troubleshoot and resolve data-related issues, ensuring system reliability and uptime.

REQUIRED COMPETENCIES:

  • More than five years of Hands-on experience with AWS data services: Redshift, S3, Glue, Lambda, EMR, Athena.
  • Strong SQL skills for querying and transforming data.
  • Experience with ETL/ELT processes and data pipeline orchestration (e.g., Airflow).
  • Proficiency in Python for data engineering tasks.
  • Solid understanding of data modeling, warehousing, and big data concepts.
  • Experience with version control (Git) and CI/CD pipelines.
  • Strong analytical and problem-solving skills, with attention to detail.
  • Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.

DESIRED COMPETENCIES:

  • Experience with Databricks or Spark on AWS.
  • Familiarity with data governance, security, and compliance practices.
  • Knowledge of containerization (Docker, Kubernetes) in data workflows.
  • AWS certifications (e.g., AWS Certified Data Analytics – Specialty)

QUALIFICATIONS:

  • Candidate must possess at least a Bachelors/College Degree in Computer Science, Computer Engineering, Information Technology or equivalent.
  • More than five years of proven expertise in designing, building, and maintaining scalable data pipelines and ETL processes on AWS.

BENEFITS:

  • Remuneration commensurate with experience
  • Day shifts with a normal professional work week (8 hours per day, 5 days per week, Saturday and Sunday off)
  • Predominately work from home with team meetups
  • Occasional domestic travel

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