Data Engineer -
Must Have : AWS Platform
AWS Platform
Snowflake
ETL Tools - Informatica Power center Required; Informatica IICS, Fivetran, Dbt labs, AWS Airflow Nice to have
Python, SQL Required
Familiarity with :
Cloud Technologies - AWS services like Lambda, SQS / SNS, EMR, Cloud watch, RDS. EKS
Compute Technologies Spark / Hadoop
Streaming Technologies Kafka, AWS Kinesis
PI Technologies MuleSoft, AWS Gateway API
CI / CD Atlassian Bitbucket and Bamboo
Build tools - Apache ANT and Maven
RESPONSIBILITIES :
Be an expert in Data Warehouse domain and relevant business function.
Work with minimal supervision and provide status updates.
Provides application support as part of an on-call rotation to work on resolving outages and user questions.
Build large scale datasets for a wide range of consumer needs.
Build, test and implement highly efficient data pipelines using a variety of technologies.
nalyze new data sources to understand quality, availability, and content.
Create and executes unit tests.
Supports QA team during testing.
Knowledge / Skills / Abilities :
Proven ability to model data for reporting and analytics needs.
Proven ability to design and implement applications using best practices.
Proven ability to analyze and understand existing processes and code.
Works and communicates effectively with all levels of management.
Excellent written, verbal, and people skills.
Must work well within team-oriented environments.
Proven ability to work in Agile development methodology.
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