Principal Consultant, Senior Data Engineer

Responsibilities

Responsible for development based on client prioritization and approval
Support client technical architects in conducting PoCs , including cost evaluations, of various AWS services and other tools
Develop data ingress frameworks using the AWS tech stack like AWS Glue, Athena, Databricks, Python, Pyspark, SQL
Design and development of the Workflow Orchestration using Airflow, step functions
Manage releases
Oversee testing
Ensure data pipelines meet intraday and daily SLAs, as per documented SLA definitions
Ensure data quality through building data quality frameworks
Oversee incident management & request fulfillment
Ensure SLAs are met, as per documented SLA definitions
Manage escalations and approvals

Qualifications we seek in you!
Minimum qualifications
Bachelors degree in business information systems (IS), computer science or related field, or equivalent-related IT experience.
AWS certified Cloud Data Engineer
Databricks certified Data Engineer
Have practical experience in Python, PySpark, SQL

Preferred Qualifications/skills
Good Communication skills
Able to interact with client independently