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Data Engineer - Databricks / AWS (Gaming & LiveOps) - Latin America - Remote

posted by: spj_bot

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.

The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.

Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.

Requirements

The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.

Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS

Job Skills

data models professional datasets apache airflow reliability automation data tables decision make optimize data streaming data data management scalable data engineer cloud native architecture core data models big datum design build data modeling communication sql dashboards data drive decision make computer science governance data quality San latin operational telemetry remuneration nice problem solve data viewer career development python open source solving complex problems supporting gaming data processing collaborate kpi reporting reliable analytics operations esports workflows programming machine learn collaboration data warehouses development services philanthropy innovative pipelines data scheduling systems operational reporting scalability software development data governance real time data systems ETL infrastructure governed data product engineering english scale maternity big data visualizing data development company cloud infrastructure databricks
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Senior/Lead Data Engineer - Data Quality

posted by: spj_bot

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers.

What will you be doing?

We are looking for a hands-on Senior/Lead Data Engineer with strong expertise in Data Quality to help shape and scale our modern data ecosystem and enable data-driven, AI-centric applications across the organization. 

As a member of the broader AI team at Navarino, this role will work closely with engineering and business stakeholders to design and build trusted, scalable, and well-governed data platforms that support analytics, operational reporting, machine learning, and next-generation AI solutions. 

The ideal candidate brings strong data engineering expertise, a passion for data quality and governance, and a commitment to driving best practices across the entire data lifecycle.

Job Skills

data models professional datasets apache airflow reliability automation personal development optimize data collaborating ul information system managing data management scalable data engineer data GCP quality data cloud platforms quality frameworks github jenkins communication management sql data pipeline dashboards computer science governance data quality cloud native continuous improvement managing data hybrid cloud working environment operational data platform tooling gitlab nice data engineering operational excellence technology solution teamwork experience designing python google cloud platform collaborate apache kafka cloud azure reliable best practices analytics stakeholder management scala innovative data science google cloud operational reporting scalability data governance machine learning ETL metadata management information system governed data scale e data architecture real time datum data pipelines interoperable programming languages kinesis track
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Data Quality Lead

posted by: spj_bot

About us

Navarino is an innovative global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments focus on building and enriching our product portfolio, with specialized software and services that we develop in-house.

We pride ourselves on our people and culture. We encourage innovative thinking, teamwork, and excellence. Our committed people, our values and ways of working create a dynamic, professional, fun, and family-oriented environment which delivers high value and excellence to our customers. 

What will you be doing?

The Data Quality Lead is responsible to ensure our data pipelines deliver reliable, high-quality, and well-governed data that enable scalable analytics and AI solutions across the enterprise. This role bridges data engineering, governance, and analytics, focusing on building trust in data assets, enforcing quality standards, and enabling secure, governed access to data for business users, data scientists, and machine learning models.

 

Responsibilities

Job Skills

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