Contract Data Engineer - Build Scalable Data Pipelines

Lewis Personnel Management

Philippines

Remote

PHP 800,000 - 1,200,000

Full time

14 days+
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Job summary

LGC-MCV is seeking a Data Engineer in Taguig (BGC) for a 3–6 month contractual engagement. You will develop data workflows, organize data, and support analytics through scalable solutions. Collaboration with multiple teams will be essential to meet data requirements and improve processes.

Requirements include a Bachelor’s or Master’s in IT/CS/Engineering and 3–4+ years of relevant experience, with strong Python and SQL skills, plus hands-on with Spark, Pandas, and data warehouse tools.

Qualifications

  • Bachelor’s or Master’s Degree in IT, Computer Science, Engineering, or a related field.
  • 3–4+ years of experience in Data Engineering, Data Analytics, or a related role.
  • Strong programming skills in Python; experience with Java is an advantage.
  • Experience with data processing tools such as Pandas, Dplyr, or Apache Spark.
  • Solid understanding of ETL/ELT processes and data pipeline development.
  • Experience with both SQL and NoSQL databases.
  • Background in big data technologies such as MongoDB, Spark, Hive, Snowflake, Redshift, or similar platforms.
  • Experience working with AWS, Azure, GCP, or other cloud-based data environments.

Responsibilities

  • Develop and maintain reliable data solutions to support business and reporting needs.
  • Build data workflows, organize and process information, and improve data accessibility.
  • Collaborate with teams to understand data requirements, improve processes, and deliver scalable solutions.

Skills

Python
SQL
NoSQL
Data transformation

Education

Bachelor’s or Master’s Degree in IT/CS/Engineering

Tools

Pandas
Dplyr
Apache Spark
Hadoop
Snowflake
AWS Redshift
AWS Glue
AWS Lake Formation
Tableau
Power BI
QuickSight
Google Data Studio
Plotly
Matplotlib
Dash

Job description

LGC-MCV is seeking a Data Engineer in Taguig (BGC) for a 3–6 month contractual engagement. You will develop data workflows, organize data, and support analytics through scalable solutions. Collaboration with multiple teams will be essential to meet data requirements and improve processes.

Requirements include a Bachelor’s or Master’s in IT/CS/Engineering and 3–4+ years of relevant experience, with strong Python and SQL skills, plus hands-on with Spark, Pandas, and data warehouse tools.

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