Sr Data Engineer
About the role:
With our in-house engineering team spanning across US, Europe and India we are building the world’s top-rated global Employment Platform. We are strong advocates of DevOps culture where product managers, engineers, QA, IT operations and InfoSec work together towards a common goal, enabling the fast flow of planned work into production, while achieving world-class stability, reliability, availability and security.
What you will do:
Design and develop our best-in-class cloud platform, working on all parts of the code stack from front-end, REST and asynchronous APIs, back-end application logic, SQL/NoSQL databases and integrations with external systems
Develop solutions across the data and analytics stack from ETL and Streaming data
Design and develop reusable libraries
Enhance strong processes in Data Ecosystem
Write unit and integration tests
What we're looking for:
Extensive experience in developing data and analytics applications in geographically distributed teams
Hands-on experience in using modern architectures and frameworks, structured, semi-structured and unstructured data, and programming with Python
Hands-on SQL knowledge and experience with relational databases such as MySQL, PostgreSQL, and others
Hands-on ETL knowledge and experience
Knowledge of commercial data platforms (Databricks, Snowflake) or cloud data warehouses (Redshift, BigQuery)
Knowledge of data catalog and MDM tooling (Atlan, Alation, Informatica, Collibra)
CICD pipeline for continuous deployment (CloudFormation template)
Knowledge of how machine learning / A.I. workloads are implemented in batch and streaming, including the preparing of datasets, training models, and using pre-trained models
Exposure to software engineering processes that can be applied to Data Ecosystems
Excellent analytical and troubleshooting skills
Excellent communication skills
Excellent English (both verbal and written)
BS. in Computer Science or equivalent
#LI-AK1
We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.
Sr Data Engineer
About the role:
With our in-house engineering team spanning across US, Europe and India we are building the world’s top-rated global Employment Platform. We are strong advocates of DevOps culture where product managers, engineers, QA, IT operations and InfoSec work together towards a common goal, enabling the fast flow of planned work into production, while achieving world-class stability, reliability, availability and security.
What you will do:
Design and develop our best-in-class cloud platform, working on all parts of the code stack from front-end, REST and asynchronous APIs, back-end application logic, SQL/NoSQL databases and integrations with external systems
Develop solutions across the data and analytics stack from ETL and Streaming data
Design and develop reusable libraries
Enhance strong processes in Data Ecosystem
Write unit and integration tests
What we're looking for:
Extensive experience in developing data and analytics applications in geographically distributed teams
Hands-on experience in using modern architectures and frameworks, structured, semi-structured and unstructured data, and programming with Python
Hands-on SQL knowledge and experience with relational databases such as MySQL, PostgreSQL, and others
Hands-on ETL knowledge and experience
Knowledge of commercial data platforms (Databricks, Snowflake) or cloud data warehouses (Redshift, BigQuery)
Knowledge of data catalog and MDM tooling (Atlan, Alation, Informatica, Collibra)
CICD pipeline for continuous deployment (CloudFormation template)
Knowledge of how machine learning / A.I. workloads are implemented in batch and streaming, including the preparing of datasets, training models, and using pre-trained models
Exposure to software engineering processes that can be applied to Data Ecosystems
Excellent analytical and troubleshooting skills
Excellent communication skills
Excellent English (both verbal and written)
BS. in Computer Science or equivalent
#LI-AK1
We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.