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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
MX$ 80,000.00 - 95,000.00 (Mexican Peso)
We are a digital systems company and a community of passionate, purpose-led individuals seeking to enhance peoples lives with technology. We deliver solutions with speed and at scale to address our customers complex business challenges. We are one of the largest providers of Digital Applications and Technology Solutions on SAP Cloud Platform (SCP) and SAP on-premise platform. To learn more about Incture, visit incture .com
We take pride in trust, transparency and open communication across all levels. You will thrive, if you are open to learning and making a difference in an intrapreneurial and fast-paced environment. We offer competitive salary and perks and a meritocracy driven career growth path.
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
Bachelors Degree in Computer Science or Information Technology or equivalent certifications
Analytical software/language skills (Python, R, SQL)
Distributed big data processing frameworks (Spark, Kafka)
Experience with cloud and data related components such as AWS Glue, Athena, Step Functions, Lambdas, Redshift, RDS, Databricks, etc.