Sr Data Engineer

Posted about 2 months agoViewed

📍 Location: United States, Europe, India

🔍 Industry: SaaS

🗣️ Languages: English

🪄 Skills: PythonSQLApache AirflowCloud ComputingETLMachine LearningSnowflakeAlgorithmsApache KafkaData engineeringData StructuresCommunication SkillsAnalytical SkillsCI/CDRESTful APIsDevOpsMicroservicesExcellent communication skillsData visualizationData modelingData analyticsData management

Requirements:

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

Responsibilities:

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

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