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Description:
The Senior Data Engineer role at SiteMinder involves being part of the core data engineering team responsible for the entire data platform and associated solutions.
Responsibilities include building core data platform and pipeline components from scratch, analysing and optimizing existing data architecture, integrating various data source systems, and ensuring the data architecture works optimally.
The role is within the Enterprise Data Management and Analytics (EDMA) team, which caters to all analytical needs across the company.
Requirements:
Must have 5+ years of experience in a Data Engineer role with at least 1 complete cloud data implementation project experience.
Experience in developing Enterprise data architecture using the latest Big Data technologies, particularly Open Source.
Strong technical abilities in Python, Spark, and SQL are required.
Hands-on experience with AWS data services like Glue, EMR, Kinesis, Redshift, Athena, Lambda, etc., is a must.
Proficiency in creating and managing Data Platforms through IaaC tools like Terraform.
Experience in designing complex workflows on scheduling tools like Airflow, AWS Data pipeline, etc.
Familiarity with managing Snowflake Data Warehouse and Data Modelling.
Experience in developing customised integration layers in Python through REST and SOAP API architectures.
Understanding of data architecture related services and trends on AWS Data Lake and Snowflake.
Ability to work under minimal supervision, strong communication and documentation skills, and the capability to work well in in-person and remote team situations.
Benefits:
Equity packages for employees to be part of the SiteMinder journey.