00A_AWS
Hace 2 días
Lagos de Moreno, México
Incture
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
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 Culture at Incture 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.
Job Description
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 Required
Skills:
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.
- 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 Culture at Incture 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.
Job Description
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 Required
Skills:
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.