Data Quality Engineer

We Support Incorporated; Taguig; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

We Support Incorporated is seeking a data engineer with strong Python/Java skills to design and optimize data pipelines. The role requires hands-on experience with ETL processes, SQL/NoSQL databases, and big data technologies like MongoDB, Spark, and Snowflake.

The ideal candidate has 3+ years in data engineering or analytics, and familiarity with cloud environments (AWS, Azure, GCP) to manage scalable data processing solutions.

Qualifications

• Bachelor's or Master's degree in IT, Computer Science, Engineering, or related field.
• Minimum 3 years in data engineering or data analytics.
• Proficiency in Python and Java; other languages a plus.
• Hands-on experience with data manipulation tools (Pandas, Dplyr, Spark).
• Proficiency in ETL processes for data pipelines.
• Expertise in SQL and NoSQL for database interaction.
• Experience with big data storage/processing solutions (MongoDB, Spark, Hive, Snowflake, Redshift).
• Experience with cloud or on-prem data processing environments (AWS, Azure, GCP).

Skills

Python

Java

ETL

SQL

NoSQL

Education

Bachelor's or Master's degree in IT / CS / Engineering

Tools

Pandas

Dplyr

Spark

MongoDB

Hive

Snowflake

Redshift

Job description

• Bachelors or Masters Degree in IT, Computer Science, Engineering, or any related course.

• At least 3 years of experience in data engineering, data analytics, orrelated fields.

• Proficiency in Python and Java, with experience in other programming languages as a plus.

• Hands-on experience with data manipulation tools (e.g., pandas, dplyr, or Spark).

• Proficiency in Extract, Transform, and Load (ETL) processes for efficient data pipeline management.

• Expertise in both SQL and NoSQL query languages for database interaction and management.

• Experience with big data storage and processing solutions, such as MongoDB, Spark, Hive, Snowflake, Redshift, or similar technologies.

• Experience with cloud-based or server-based data processing environments (e.g., AWS, Azure, GCP).