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InetumIN

Big Data Engineer

Inetum is a leading European digital services provider, specializing in innovative solutions for businesses and public sector entities, with a focus on digital transformation.

Inetum

Employee count: 5000+

Mexico only

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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.

  • 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.
  • 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.

Bachelor's degree or engineering degree in one of the following areas:

  • Computer Systems
  • Computer Science
  • Information Technology
  • Software Engineering
  • Applied Mathematics
  • Statistics
  • or related field

OR At least 4 years of verifiable experience in roles related to:

  • Data engineering
  • Big Data development experience
  • Large-scale data processing
  • Data pipeline development
  • Use of technologies such as Hadoop, Spark, Kafka, Hive, etc.
  • English language at conversational level

Inetum is an international agile digital consulting group. In the post-digital transformation era, our purpose is to enable each of the more than 27,000 people who are part of our team to continuously renew themselves, positively experiencing their own digital flow.
With a presence in 26 countries, we promote flexible career paths, local innovation, and a healthy work-life balance. In addition, Inetum has been recognized as a Top Employer, a certification that endorses our commitment to well-being, professional development, and excellence in talent management.

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Job type

Full Time

Experience level

Mid-level
Senior

Location requirements

Hiring timezones

Mexico +/- 0 hours

About Inetum

Learn more about Inetum and their company culture.

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Inetum is a European leader in digital services, committed to delivering innovative solutions and driving digital transformation for businesses and public sector entities. With a dedicated team of 28,000 consultants and specialists spread across 19 countries, Inetum plays a vital role in enhancing client performance and contributing to societal well-being. Established in 1970, the company has evolved alongside technological advancements and market shifts, enabling it to remain agile and provide relevant services tailored to diverse needs.

Driven by a strong ambition for growth, Inetum generated €2.5 billion in revenue in 2023, reflecting its successful expansion in both domestic and international markets. Our partnership with major software publishers, as well as our innovative approach, allows us to tackle the challenges of digital transformation effectively. Continuously investing in our capabilities and workforce, Inetum’s values emphasize collaboration, quality of service, and a shared commitment to make a positive impact on society. As we move forward, our mission remains clear: to facilitate the success of our clients by transforming technological potential into operational reality.

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