ETL Developer

Questronix Corporation Open

On-site Pasig Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Questronix Corporation. Pasig.

Pay not stated Data Engineering salary

RoleData Engineering

SeniorityMid-level

LocationPasig

WorkplaceOn-site

PostedFeb 28, 2025

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build ANSI SQL queries and work with JSON, XML, HTML and other semi-structured data
Use Hive, Impala and SQL clients to query distributed systems and relational databases
Transform data for business needs through ETL tools or code using Python, Scala or Java
Support data warehousing and reporting, and gather business requirements
Investigate root causes and lead cross-functional teams delivering projects and initiatives

What you bring

At least five years in data engineering or a comparable role
A bachelor's degree in computer science, IT or a related discipline
Strong SQL and Python skills, including work with relational databases and ETL tools
Background with data pipelines and warehouses such as Airflow, Talend, Informatica, Snowflake or Redshift
Good communication and stakeholder-management skills

Who this fits

This mid-level, onsite role in Pasig suits someone with data engineering experience who can combine SQL, Python and ETL work with business requirements gathering. You’ll also need to communicate with stakeholders and lead cross-functional project teams.

From the employer

Job Description:

Being able to understand and develop ANSI SQL queries;
Being aware of handling other semi-structured data formats – JSON, XMLs, HTMLs etc;
Being comfortable in querying tools for distributed systems such as Hive, Impala and other SQL clients (RDBMS, Python, Scala etc.);
Being comfortable in handling transforming data to suite business needs;
Being able to handle tools for data transformation and/or ETL through tool-based and code-based development – ex. Informatica or Talend for tool based / Spark or MapReduce framework in Python or Scala/Java for code-based development;
Having a background on data warehousing and reporting technologies

Requirements

Qualifications:

5+ years of experience in data engineering or a similar role.
Bachelor's degree in computer science, Information Technology, or a related field.
Proficiency in SQL and experience with relational databases.
Strong programming skills in Python.
Experience with ETL tools and data pipeline frameworks (e.g., Apache Airflow, Talend, Informatica).
Knowledge of data warehousing solutions like Snowflake or Redshift.
Good communication and stakeholder management skills
Root cause analysis
Business requirements gathering
Capable of leading cross functional teams in order to deliver projects and initiatives