Job Summary: Design, develop, integrate, and maintain data engineering solutions to ensure data availability, quality, and integrity, enabling efficient data consumption. Key Highlights: 1. Innovation and talent that make a difference 2. A close-knit, collaborative environment with growth opportunities 3. Inclusive workplaces with equal opportunities **Description:** ---------------- **We are 3IT — Innovation and talent that make a difference!** For us, innovation is a collaborative process, and growth is a shared goal. We are guided by values such as **teamwork, reliability, empathy, commitment, honesty, and quality**, because we know outstanding results stem from strong relationships. Moreover, we value diversity and promote inclusive workplaces. That’s why we actively support compliance with Law 21\.015, ensuring accessible processes and equal opportunities. If you’re seeking a place where you can continue learning, contribute your expertise, and grow within a close-knit and collaborative environment, this could be your next opportunity. **What would your role entail?** Design, develop, integrate, and maintain data engineering solutions that ensure data availability, quality, integrity, and reliability — facilitating efficient data consumption by analytical platforms, Business Intelligence solutions, and organizational processes supporting business decision-making. **Requirements:** --------------- * Proficiency in Python and advanced SQL. * Access management using IAM and RBAC. * Git usage for version control. * Docker usage for container management. * Competence with Parquet, JSON, and Avro formats. * Minimum six years of experience in data engineering. * Knowledge of encryption, GDPR, and local regulations. * Hands-on experience with Apache Spark for distributed processing. * Ability to design Data Lake and Lakehouse architectures. * Implementation of ETL/ELT pipelines and data modeling. * CI/CD implementation using Azure DevOps, GitHub Actions, or CodePipeline. * Integration of AWS services: S3, Glue, Athena, Redshift, Lambda, Step Functions, and CloudWatch. * Data governance administration on AWS and Azure via catalog, lineage, quality, Glue Catalog, and Purview. * Operation of Azure services: Data Factory, ADLS, Synapse Analytics, Databricks, Functions, Azure Monitor, and Log Analytics. * **Nice-to-have for this role:** * PySpark knowledge. * Kubernetes usage for container orchestration. * Infrastructure-as-code experience with Terraform, CloudFormation, or Bicep. * Streaming experience with Kafka, Kinesis, MSK, Event Hub, or Stream Analytics. * Experience with DataOps practices for end-to-end data platform operations. * **Where and how will you work?** * Client: Banco Estado * Office location: Santiago * Work mode: Remote — Hybrid contract ✋ **Some considerations before applying:** * If you have a disability, please let us know if you require any special accommodations for the interview. **Benefits you’ll enjoy upon joining our team:** Annual bonus Year-end party Administrative days ACHS Mundo agreement Caja Los Andes agreement Patriotic holidays celebration ️ Pluxee meal card Recognition for tenure Gift upon birth of child Specialized webinars and talks Continuous training and development Half-day off for your birthday Pet insurance discount ️ Access to Buk benefits and discounts Professional competency development Patriotic and year-end bonuses Additional days beyond standard paternal postnatal leave MetLife health and supplementary insurance Well-being, self-care, and healthy living program No-maintenance-fee checking account at Banco de Chile
Sofía Muñoz
MyJob · HR
Sofía Muñoz
MyJob · HR
