- Profound understanding of Big Data core concepts and technologies – Hive, Impala, MapReduce / YARN, Spark, Scala.• Solid experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR, Glue, Lambda, Athena and Redshift.• Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS.• Programming experience with Python/Scala, Shell scripting.• Experience with DevOps and ContinuProfound understanding of Big Data core concepts and technologies – Hive, Impala, MapReduce / YARN, Spark, Scala.• Solid experience and understanding of various core AWS services such as IAM, Cloud Formation, EC2, S3, EMR, Glue, Lambda, Athena and Redshift.• Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS.• Programming experience with Python/Scala, Shell scripting.• Experience with DevOps and Continu
- Role: Data Engineer Job DescriptionDesign, build, and maintain distributed batch and real-time data pipelines and data models.Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few).Support teams without data engineers with building decentralized data solutions and product integraRole: Data Engineer Job DescriptionDesign, build, and maintain distributed batch and real-time data pipelines and data models.Facilitate real-life actionable use cases leveraging our data with a user- and product-oriented mindset.Be curious and eager to work across a variety of engineering specialties (i.e., Data Science, and Machine Learning to name a few).Support teams without data engineers with building decentralized data solutions and product integra
- Role: Data Science Engineer ResponsibilitiesProcess, analyze, and create visualizations for both structured and unstructured dataDesign and maintain algorithms for predictive modeling and recommendationsCollaborate with data engineers, product managers, and stakeholders to build robust production systemsRequired QualificationsBachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalentExcellent verbalRole: Data Science Engineer ResponsibilitiesProcess, analyze, and create visualizations for both structured and unstructured dataDesign and maintain algorithms for predictive modeling and recommendationsCollaborate with data engineers, product managers, and stakeholders to build robust production systemsRequired QualificationsBachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalentExcellent verbal
- Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databaGather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databa
