Mexico, PHhybridPosted Jul 22, 2026
Posting intelligenceActively listedReposted 28×, possible evergreen/ghost posting

Skills

cassandraairflowhadoopprestooraclegithubpythonazuresparkkafkajavagooglecloudgo

About the role

We're not just looking for talent; we're looking for curious minds that enjoy learning and shaping the future.

We're tech, we're demanding, and yes, we move fast. But nobody competes alone. We work as a team, and if you're looking for challenges that push you out of your comfort zone (because nobody grows there), you're in the right place. Here, you'll learn from experts, participate in high-impact projects, and always be one step ahead in technology.

As part of the Data Engineer team, you will be responsible for design, development and operations of large-scale data systems operating at petabytes scale. You will be focusing on real-time data pipelines, streaming analytics, distributed big data and machine learning infrastructure. You will interact with the engineers, product managers, BI developers and architects to provide scalable robust technical solutions.

Essential Job Functions & Responsibilities:

Min 6-8 years of BIG data development experience.

Demonstrates up-to-date expertise in Data Engineering, complex data pipeline development.

Experience in agile models

Design, develop, implement and tune large-scale distributed systems and pipelines that process large volume of data; focusing on scalability, low -latency, and fault-tolerance in every system built.

Experience with Java, Python to write data pipelines and data processing layers

Experience in Airflow & Github.

English conversational

Experience in writing map-reduce jobs.

Demonstrates expertise in writing complex, highly-optimized queries across large data sets

Proven, working expertise with Big Data Technologies Hadoop, Hive, Kafka, Presto, Spark, HBase.

Highly Proficient in SQL.

Experience with Cloud Technologies ( GCP, Azure)

Experience with relational model, memory data stores desirable ( Oracle, Cassandra, Druid)

Provides and supports the implementation and operations of the data pipelines and analytical solutions

Performance tuning experience of systems working with large data sets

Experience in REST API data service – Data Consumption

Retail experience is a huge plus.

What do we have for you?

We support your personal and professional growth with individual development plans, where you are in charge of your career and how far you want to go.

More vacation days than required by law: You don't have to wait a year to enjoy your vacation days, plus additional days off for special events and holidays.

Financial benefits beyond your salary: Grocery vouchers, savings fund, training opportunities, wellness bonus, partnerships, and discounts.

Emotional support: We care about your physical and mental well-being, so we offer various benefits that support your personal balance and your family's health. We want to take care of you and your loved ones!

There's room here for good people... like you. We want to get to know you!

Questions about this role

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Compensation for Data Engineer roles in Philippines varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Engineer hub for Philippines medians across recent openings.

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