Data Engineer

NCS Group; Taguig; Hybrid; PHP 700,000 - 1,200,000; Full time

Job summary

NCS Group is seeking a Data Engineer to design and implement data infrastructure that supports current and future business needs. The role involves creating data pipelines that transform raw data for analytic and operational processes.

The candidate should have 2–3 years of data engineering experience, strong Python skills, SQL/NoSQL expertise, and ETL experience. Hybrid work available in BGC Taguig.

Qualifications

• At least College Graduate.
• 2–3 years experience as Data Engineer.
• Proficiency in Python.
• Proficiency in data manipulation tools: Pandas, Dplyr, Spark.
• Experience with ETL Processes.
• Experience in SQL and NoSQL query languages.
• Experience with big data storage/processing solutions (SQL variants, MongoDB, Spark, Hive, Snowflake, Redshift).
• Experience with any cloud service or server based data processing.
• Willing to do hybrid in BGC Taguig.

Responsibilities

• Design and build scalable big data infrastructure and solutions, leveraging available cloud resources.
• Design, create and maintain ETL processes and data pipelines for reporting and machine learning.
• Collaborate with cross-functional teams to determine and satisfy business data requirements.
• Optimize and automate existing business processes and procedures.
• Create and present ad hoc reports to key stakeholders.

Skills

Python

SQL

NoSQL

ETL

Education

College Degree

Tools

Pandas

Dplyr

Spark

MongoDB

Hive

Snowflake

Redshift

Job description

General Responsibilities

The Data Engineer will focus on using various methods to design and implement an overall data infrastructure that will support current and future business needs. The data engineer is also tasked in creating data pipelines that transform raw data for analytical and operational processes.

Duties And Responsibilities

• Design and build scalable big data infrastructure and solutions, leveraging available cloud resources
• Design, create and maintain ETL processes and data pipelines for functions such as but not limited to reporting and machine learning
• Collaborate with different cross functional teams to determine and satisfy business data requirements taking into account various technology stacks
• Optimize and automate existing current business processes and procedures
• Create and present ad hoc reports to key stakeholders

Minimum Qualifications

• At least College Graduate
• With 2‑3 years experience as Data Engineer
• Proficiency in Python
• Proficiency in data manipulation tools: Any of Pandas, Dplyr, Spark
• Experience with Extract, Transform and Load (ETL Processes)
• Experience in SQL and no SQL query languages
• Experience with any big data storage and processing solutions (SQL variants, MongoDB, Spark, Hive, Snowflake, Redshift, etc.)
• Experience with any cloud service or server based data processing
• Willing to do hybrid in BGC Taguig