Omni-channel customer support • Customer acquisition • Back office • Customer retention • Offshoring
10,000+
💰 Private Equity Round on 2018-08
Yesterday
Omni-channel customer support • Customer acquisition • Back office • Customer retention • Offshoring
10,000+
💰 Private Equity Round on 2018-08
• Create new data pipelines, database architectures and ETL processes • Observe and suggest go-to methodology • Gather requirements, perform vendor and product evaluations, deliver solutions • Handle design and development, tuning, deployment and maintenance of data analytics • Establish analytic environments for structured, semi-structured and unstructured data • Implement business requirements and processes, build ETL configurations • Create pipelines for Data Warehouse • Research new technologies and build proof-of-concepts • Build and maintain ETL/ELT processes for DW and Data Lake • Carry out monitoring, tuning, and database performance analysis • Design and extend data marts, metadata, and data models • Ensure all data warehouse architecture codes are maintained in version control system
• Bachelor’s degree in Computer Science (MBA or MS is a plus) or 8-10 years experience in lieu of a degree • Knowledge of Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, Pentaho Data Integration • 5 - 6 years of broad information technology experience • Strong knowledge of Data Warehousing concepts • Understanding of traditional and MPP database designs, star and snowflake schemas • At least 4-5 years of data modeling experience • 2 years of hands-on development experience using ETL Tools (Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow) • Knowledge on architecture, design and implementation of MPP Databases (Teradata, Snowflake or Redshift) • 2 years development using Cloud-based analytics solutions (preferable AWS or GCP) • Knowledge of designing and implementing streaming pipelines (Apache Kafka, Apache Spark, or Segment) • 2 years experience of using Python in a cloud based environment is a plus • Knowledge on NoSQL DBs is preferred • Knowledge in Database Tuning and ETL tuning • Ability to work effectively across internal functional areas in ambiguous situations • Structured thinker and effective communicator
• Competitive industry salaries • Comprehensive benefits packages • Commitment to a People First culture • Inclusive environment • Positive impact on the community • Encouragement of internal mobility and professional growth
Apply NowSeptember 15
1001 - 5000
Data Engineer for Rappi's central data infrastructure and decision-making.