Senior Data Engineer

5 days ago


San Fernando, Philippines Unient Full time

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 #J-18808-Ljbffr



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