Data Solution Engineer

Infosys Limited; Buenos Aires; Presencial; ARS 100.775.000 - 120.931.000; Jornada completa

Descripción de la vacante

A global digital services leader is seeking a Data Solution Engineer Associate Consultant in Buenos Aires. The role involves designing, building, and maintaining scalable data pipelines using tools like Databricks and Informatica, as well as managing data infrastructures on Azure and AWS. Candidates should possess strong data engineering skills, at least 8 years of experience, and a relevant degree. This position offers an opportunity to work on innovative data solutions that empower business intelligence initiatives.

Formación

• 8+ years of hands-on experience designing and building data pipelines.
• Strong proficiency in data engineering tools and technologies.
• Excellent problem-solving skills and ability to drive solutions.

Responsabilidades

• Architect and implement ETL/ELT workflows using Databricks and Informatica.
• Deploy and manage data infrastructure on Azure and AWS.
• Define and enforce data validation rules and governance standards.

Conocimientos

Data pipeline design

ETL/ELT development

Cloud platforms (AWS, Azure)

Apache Spark

Python

SQL

Problem-solving

Collaboration

Educación

Bachelor’s or Master’s in Computer Science or related field

Herramientas

Databricks

Informatica

Hadoop

Kafka

Descripción del empleo

Data Solution Engineer Associate Consultant

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

SHORT DESCRIPITION

The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to power analytics, machine learning, and business intelligence initiatives. As a technical leader, you’ll collaborate with cross‑functional teams to deliver robust data solutions and ensure high standards of data quality, governance, and performance.


RESPONSIBILITIES

• Architect, implement, and optimize ETL/ELT workflows using tools such as Databricks and Informatica to ingest and process large datasets.
• Deploy and manage data infrastructure on Azure and AWS, including containerized services and serverless components.
• Partner with data scientists, software engineers, and business stakeholders to translate requirements into scalable data solutions.
• Monitor and tune pipeline performance, implement robust monitoring/alerting (e.g., Prometheus, DataDog), and troubleshoot production issues.
• Define and enforce data validation rules, lineage tracking, and governance standards to ensure accurate and compliant data usage.
• Build CI/CD pipelines for data code, automate deployments, and support model operationalization workflows.
• Share knowledge of data engineering best practices, conduct code reviews, and mentor junior engineers.

Job description

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 56 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.

SHORT DESCRIPITION

The Senior Data Engineer will design, build, and maintain scalable data pipelines and infrastructure to power analytics, machine learning, and business intelligence initiatives. As a technical leader, you’ll collaborate with cross‑functional teams to deliver robust data solutions and ensure high standards of data quality, governance, and performance.


RESPONSIBILITIES

• Architect, implement, and optimize ETL/ELT workflows using tools such as Databricks and Informatica to ingest and process large datasets.
• Deploy and manage data infrastructure on Azure and AWS, including containerized services and serverless components.
• Partner with data scientists, software engineers, and business stakeholders to translate requirements into scalable data solutions.
• Monitor and tune pipeline performance, implement robust monitoring/alerting (e.g., Prometheus, DataDog), and troubleshoot production issues.
• Define and enforce data validation rules, lineage tracking, and governance standards to ensure accurate and compliant data usage.
• Build CI/CD pipelines for data code, automate deployments, and support model operationalization workflows.
• Share knowledge of data engineering best practices, conduct code reviews, and mentor junior engineers.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
• 8+ years of hands on experience designing and building data pipelines and infrastructure.
• Strong proficiency in data engineering tools and technologies, such as Apache Spark, Hadoop, Kafka, and cloud-based platforms (AWS, Azure, or GCP).
• Hands-on experience with data modeling, ETL processes, and distributed data processing frameworks.
• Proficiency in programming languages like Python, R, Java, and expertise in SQL.
• Solid understanding of data architecture principles, microservices, and data governance frameworks.
• Excellent problem-solving skills and ability to drive solutions in a fast-paced environment.
• Strong communication and collaboration skills, with a proven ability to work with both technical and non-technical stakeholders.

EEO Statement:

At Infosys, we recognize that everyone has individual requirements. If you are a person with disability, illness, or injury and require adjustments to the recruitment and selection process, please contact our Recruitment team for adjustment either via the following email [e-mail] or call 1-866-472-0935. Alternatively, you can include your preferred method of communication in email, and someone will be in touch.

Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third-party vendors. In the absence of a signed agreement, any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.

“All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.”