Data Engineer

3 days ago

Quezon City, Metro Manila, Philippines HSI Full-time

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On-site - Quezon City 3-5 Yrs Exp Bachelor Full-time

Key Functions:

Designing data models – Create efficient and scalable data models to support analytical and operational needs.
Data architecture – Designing and implementing data structures that meet data architecture standards and business needs.
Data integration – Integrate data from various sources into the data lake.
Data pipeline – Implement automation to streamline data ingestion, transformation, and loading processes.
Data quality – Implement data validation and quality checks across the data management pipeline.
Collaboration – Collaborate with business analysts, developers, and stakeholders to understand data requirements and provide them with the necessary data.

Key Performance Indicators (KPIs):

Data Quality – Produce and query data with high accuracy, completeness, consistency, and validity for usability in analysis and key decision‑making.
Data Processing Efficiency – Maximize compute, storage, and transfer to optimize cost and run‑time.
System Uptime – Minimize disruption and downtime to ensure availability of data solutions during working and operating hours.
Time-to‑Insight – Deliver data for business insights within a workable timeline to ensure relevance and value appreciation.

Education and Basic Requirements:

Bachelor's Degree in Computer Science, Software Engineering, Statistics or related field.
Strong foundation in computer science principles, algorithms, software development methodologies, and data analysis.

Certificates and Preferred Experience:

Relevant certification such as AWS Associate – Data Engineering, Snowflake SnowPro Associate, and Core is a plus.
Working experience in at least one, and ideally several, of: Python, Java, Scala, SQL.
3+ years of experience as a data engineer, data scientist, or SQL developer.
Expert knowledge of relational databases (RDBMS) – e.g. MySQL, PostgreSQL, MSSQL; knowledge of no‑SQL databases (e.g. Couchbase) is a plus.
Working knowledge of data warehousing concepts and technologies (e.g. Snowflake, Redshift, BigQuery); proficiency in Snowflake is a plus.
Working knowledge of cloud‑based data services (e.g. AWS S3, Azure Blob Storage, Google Cloud Storage).
Familiarity with data integration tools (e.g. Apache Airflow, Talend, Informatica).
Proficient knowledge of data analysis concepts; familiarity with data visualization tools (e.g. Tableau, Power BI) is a plus.
Solid understanding of fundamental data structures.
Knowledge of data modeling and schema design.
Basic understanding of software development methodologies (e.g. Agile, Scrum).
Strong analytical skills with the ability to identify key business insights from aggregated and consolidated data.

Soft Skills:

Excellent verbal and written communication skills, with the ability to collaborate across teams.
Team player with a willingness to learn and work in an agile environment.
Strong organizational and time management skills, with the ability to prioritize tasks effectively.