Job Summary: We are seeking a Data Engineer to develop scalable and secure software, applying best practices to drive business development. Key Highlights: 1. Being part of a collaborative organization 2. Continuous challenges and learning 3. Sharing knowledge with top professionals Description **About CONTPAQi** We are a Jalisco-based company with 40 years of experience and nationwide presence. We aim to contribute to society by driving enterprise development through high-quality software. We know that achieving our goals requires happy, committed collaborators who enjoy their work; therefore, we want them to find their purpose with us. **Data Engineer** Mission: Develop software products on time, with quality and scope, applying best practices to produce scalable, flexible, and secure software. Responsibilities: * Participate in cross-functional meetings to define objectives and projects. * Analyze and prioritize requirements from various departments. * Design and develop ETL (extraction, transformation, and loading) pipelines. * Write clean, scalable code adaptable to new programming languages. * Build applications to extract data from multiple formats (JSON, XML, PDF, etc.). * Implement data quality methodologies during extraction. Optimize services, queries, and processes to reduce operational and system costs. * Knowledge: * Programming languages: Java / Scala, Python, and SQL * Data engineering for both streaming and batch processing (Spark, Flink, Lambdas, etc.) * Data modeling and schemas (Snowflake, OBT, Star, etc.) * Agile methodologies and version control (Git) * Large-scale data transformation and handling of various data objects and files such as XLSX, CSV, JSON, XML, BSON, YAML, or Binary Schema Design, deployment, and architecture of Data Lakes, DWHs, and Lakehouses, along with expertise in at least one platform (ClickHouse, Databricks, Snowflake, BigQuery, etc.) * We Offer: · · Being part of a collaborative organization · · Continuous challenges and learning · · Sharing knowledge with top professionals · · Development and growth · · Benefits exceeding statutory requirements Requirements * Bachelor’s degree in Information Technologies, Systems, or related field. * Minimum 5 years of experience as a Data Engineer 5 years