Cloud Data Engineer – AWS & Big Data Pipelines

Incture; Región Centro; Presencial; MXN 893.000 - 1.060.000; Jornada completa

Descripción de la vacante

Incture seeks a data engineer to build and optimize data pipelines. You will collect, preprocess, and ingest data from multiple sources to support analytics and AI initiatives.

You will work with Spark, Kafka, and cloud services to enable scalable data processing, data quality, and model-ready datasets for insights across client projects in Mexico. The role requires strong SQL and Python skills, familiarity with AWS data services, and collaboration with data stewards to ensure timely, accurate

Formación

• Bachelor's degree in Computer Science or Information Technology
• Analytical software/language skills (Python, R, SQL)
• Distributed big data processing frameworks (Spark, Kafka)
• Experience with cloud and data components (AWS Glue, Athena, Step Functions, Lambdas, Redshift, RDS, Databricks)

Responsabilidades

• Build data connections by collecting and processing data according to project needs.
• Builds, evolves and scales out infrastructure to ingest, process and extract meaning out data.
• Leverages existing datasets to fulfill data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes
• Prepares data for prescriptive and predictive models
• Combine information from difference data sources
• Analyzes data to spot anomalies, trends and correlate similar data sets.
• Troubleshoots problems, identifies possible solutions, and resolves accordingly
• Partner with Data Steward and Data Manager to ensure data quality
• Proactively identifies data quality and processing efficiency opportunities

Conocimientos

Python

R

SQL

Big data

Educación

Bachelors in CS/IT

Herramientas

Spark

Kafka

AWS Glue

Athena

Step Functions

Lambda

Redshift

RDS

Databricks

Descripción del empleo

Incture seeks a data engineer to build and optimize data pipelines. You will collect, preprocess, and ingest data from multiple sources to support analytics and AI initiatives.

You will work with Spark, Kafka, and cloud services to enable scalable data processing, data quality, and model-ready datasets for insights across client projects in Mexico. The role requires strong SQL and Python skills, familiarity with AWS data services, and collaboration with data stewards to ensure timely, accurate