Data Engineer / Insights Engineer

Infosys

Santiago

Presencial

CLP 84.905.660 - 113.207.547

Jornada completa

14 días+

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Descripción de la vacante

Infosys seeks Data Engineers and Insights Engineers who thrive at the intersection of data engineering, analytics, and visualization. You will design, develop, and maintain data pipelines and analytics solutions across the organization.

You will partner with business experts to understand requirements, develop meaningful metrics, and deliver actionable insights through modern cloud-based technologies. Strong SQL and data storytelling are essential in a fast-paced, collaborative environment.

Formación

  • 1-3+ years of experience in Data Engineering, BI, Analytics, or a related field.
  • Strong ETL development and data integration experience.
  • Hands-on SQL for data analysis, transformation, and troubleshooting.
  • Experience developing Tableau dashboards and reports.
  • Experience with AWS cloud technologies, including Lambda, EMR, and CloudWatch.
  • Fluent English communication skills, both written and verbal.

Responsabilidades

  • Design, develop, and optimize ETL processes and data pipelines using AWS technologies.
  • Build scalable and efficient SQL solutions in AWS Athena.
  • Develop automated workflows to improve data processing, reporting, and operational efficiency.
  • Monitor, troubleshoot, and enhance existing automated jobs and data pipelines.
  • Ensure data quality, reliability, and performance across platforms.
  • Design, develop, and maintain Tableau dashboards and workbooks.
  • Collaborate with stakeholders to define KPIs and performance metrics.
  • Translate complex datasets into clear, compelling visualizations and data stories.

Conocimientos

ETL development
SQL
Tableau usage
AWS cloud
Data modeling
Data visualization

Herramientas

AWS Lambda
AWS EMR
CloudWatch

Descripción del empleo

In our company we are passionate about transforming data into meaningful insights that drive business decisions. We are seeking talented Data Engineers and Insights Engineers who thrive at the intersection of data engineering, analytics, and visualization.

If you're energized by solving complex data challenges, building scalable ETL solutions, and transforming raw data into compelling business narratives, we'd love to meet you.

This role is ideal for professionals who are detail-oriented, self-motivated, and eager to work in a fast-paced, collaborative environment. Strong English communication skills are essential.

About the Role

As a member of the Digital Platforms & Insights team, you will design, develop, and maintain data pipelines and analytics solutions that empower stakeholders across the organization. You will partner closely with business experts to understand requirements, develop meaningful metrics, and deliver actionable insights through modern cloud-based technologies.

You are someone who naturally thinks in SQL, enjoys uncovering patterns in data, and understands that great insights begin with well-engineered data foundations.

Key Responsibilities
  • Design, develop, and optimize ETL processes and data pipelines using AWS technologies.
  • Build scalable and efficient SQL solutions in AWS Athena.
  • Develop automated workflows to improve data processing, reporting, and operational efficiency.
  • Monitor, troubleshoot, and enhance existing automated jobs and data pipelines.
  • Ensure data quality, reliability, and performance across platforms.
Analytics & Insights
  • Perform data analysis to identify trends, opportunities, and business insights.
  • Execute ad hoc analyses to support strategic initiatives and operational decision-making.
  • Query and investigate data to answer business questions and support root-cause investigations.
  • Collaborate with stakeholders and subject matter experts to define KPIs and performance metrics.
  • Design, develop, and maintain Tableau dashboards and workbooks.
  • Translate complex datasets into clear, compelling visualizations and data stories.
  • Continuously improve reporting solutions to enhance business visibility and decision-making.
Required Qualifications
  • 1-3+ years of experience in Data Engineering, Business Intelligence, Analytics, or a related field.
  • Strong experience in ETL development and data integration.
  • Hands-on experience with SQL for data analysis, transformation, and troubleshooting.
  • Experience developing and maintaining Tableau dashboards and reports.
  • Experience working with AWS cloud technologies, including:
  • Lambda
  • EMR
  • CloudWatch
  • Strong understanding of relational databases, data modeling, and query optimization.
  • Fluent English communication skills, both written and verbal.
Preferred Qualifications
  • Experience working with large and complex datasets.
  • Knowledge of data warehousing concepts and best practices.
  • Familiarity with automation frameworks and scripting languages.
  • Experience working within Agile or Scrum environments.
  • Exposure to cloud-native analytics architectures and modern data platforms.
What Will Make You Successful
  • Exceptional analytical and problem-solving skills.
  • Strong attention to detail and commitment to data accuracy.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Curious mindset with a passion for discovering insights through data.
  • Ability to manage multiple priorities in a dynamic environment.
  • Self-starter who takes ownership and works independently.
  • Creative thinker who embraces innovation and continuous improvement.
  • Strong learning agility and desire to continuously expand technical expertise.
Why Join Us?

You’ll have the opportunity to work with modern cloud technologies, build impactful analytics solutions, and influence business decisions through data-driven storytelling. We foster a collaborative environment where innovation, learning, and professional growth are encouraged every day.

If you're passionate about turning data into actionable insights and building solutions that make a measurable impact, we'd love to hear from you.

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