Big Data Developer at Talan

Ciudad de México, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

27 Sep, 26

Salary

0.0

Posted On

29 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Spark, Scala, Python, Java, Azure Databricks, Amazon EMR, Hive, Cloudera, DevOps, CI/CD, Agile, Qlik Sense, ETL, Data Pipelines, Data Engineering

Industry

IT Services and IT Consulting

Description

Company Description Join Us! Why Talan? For the 4th consecutive year, Talan Spain has been recognized as a Great Place to Work! 🎉 This year, we’re also celebrating our 2nd certification in Poland, a significant milestone since opening our office there. Talan is an international advisory group specializing in innovation and transformation through technology, with 5,000 employees and an annual turnover of 600M€. We offer our customers a continuum of services to support them at each key stage of their organization's transformation, with four main activities: CONSULTING in Management and Innovation: Supporting business, managerial, cultural, and technological transformations. DATA & TECHNOLOGY: Implementing major transformation projects. CLOUD & APPLICATION SERVICES: Building or integrating software solutions. SERVICE CENTERS of EXCELLENCE: Providing technology, innovation, agility, sustainability of skills, and cost optimization. Talan accelerates its clients' transformation through innovation and technology. By understanding their challenges and supporting them with technology, innovation, and data, we enable them to be more efficient and resilient. Job Description We are looking for a Big Data Developer responsible for the development, maintenance, and optimization of data processing solutions within the Client Contribution platform. The role focuses on building robust data pipelines, ensuring data quality, and supporting data integration initiatives in a collaborative Agile environment. Key Responsibilities Design, develop, and maintain ETL and data transformation processes Implement and support Spark-based data pipelines Contribute to data integration initiatives across the platform Analyze and troubleshoot data-related issues Experience in Reporting with Qlik sense. Ensure data quality, reliability, and performance across systems Work closely with functional and technical stakeholders to gather and analyze requirements Collaborate in Agile teams and contribute to continuous improvement of data solutions Participate in DevOps practices and CI/CD processes Explore and leverage AI-assisted tools to improve data engineering and automation processes (nice to have) Qualifications Mandatory Skills & Requirements 3+ years of experience in data engineering or software development Strong SQL knowledge (ANSI SQL, Hive SQL, Spark SQL) Hands-on experience with Spark Programming experience in at least one of the following: Scala, Python, or Java Experience with Big Data environments such as Azure Databricks, Amazon EMR, Hive, or Cloudera Familiarity with DevOps and CI/CD practices (Git, GitHub, Sonar, Nexus) Ability to work effectively in Agile teams Strong analytical skills and ability to collaborate with cross-functional teams English proficiency level: B2 or higher Additional Information Permanent, full-time contract with career development opportunities. Chance to work in a challenging, multicultural environment with international projects. Exposure to large-scale financial IT systems and cross-country operations. Training opportunities to develop new skills in finance, technology, and data management. If you are passionate about development & tech, we want to meet you! Talan Spain’s commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company’s "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law 6/2019). Contract Type: Permanent contract

Responsibilities

Develop and maintain ETL processes and Spark-based data pipelines within the Client Contribution platform. Collaborate with stakeholders in an Agile environment to ensure data quality and performance across systems.