means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad... in building realtime and batch data pipelines using Spark and Scala Proven track-record of results with multi-party, multi-year...
Lugar:
México | 12/03/2026 02:03:43 AM | Salario: S/. No Especificado | Empresa:
Snowflake paced environment Affinity to learning new to technologies (Hadoop, Spark, Python) Nice to have: knowledge on VBA...
technologies such as Spark, Hive, Trino/Presto, Airflow, Kafka, or Flink. Experience with containerization and orchestration..., scalable, and observable AI‑powered systems. Evaluate and drive adoption of new data and AI technologies that advance the...
, we are committed to driving innovation and excellence in building technologies and integrated solutions. Our people are at the heart... cloud technologies and operational standards. Convert the current file-based logistics data repository into a Snowflake...
, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake.... Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling...
experience in Python and/or .NET C# or Java. Experience with Big Data technologies such as Spark and Kafka. Long...
with big data technologies (e.g., Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, GCP). Hands-on experience... technologies, including 5G, Blockchain, Metaverse, Quantum Computing, Cybersecurity, Artificial Intelligence, and more, on enabling...
using AEM (Adobe CQ) and technologies such as Java, HTML/DHTML, XML, JavaScript, and web services Discover, design... in Computer Science and/or equivalent experience in the development industry PREFERRED SKILLS & TECHNOLOGIES: Strong Java/J2EE...
sources. Experience with multiple data technologies and concepts such as SQL, NoSQL, Airflow, Kafka, Hadoop, Hive, Spark...
sources. Experience with multiple data technologies and concepts such as SQL, NoSQL, Airflow, Kafka, Hadoop, Hive, Spark...