Sr. AWS Data Engineer

Job Description
·        9+ years of strong hands-on experience working in data warehousing, data engineering and dimension modelling.
·        Should be able to work independently with minimal guidance, with excellent problem solving and analytical skills.
Required Skills
·        Experience building and maintaining ETL pipelines with large data sets using services such as AWS Glue, EMR, Kinesis or Kafka
·         Strong Python development experience with proficiency in Spark or PySpark and in using APIs
·         Strong in writing SQL queries and performance tuning in AWS Redshift and other industry leading RDMS such MS SQL Server, Postgres
·        Proficient working with AWS Services such as AWS Lambda, Event Bridge, Step functions, SNS, SQS
·        Familiar with how IAM Roles and Policies work
Preferred Skills
·        Worked in workflow management tools such as Airflow
·        Familiar with infrastructure coding such as Cloud Formation
·        Worked in CI/CD pipeline and agile methodologies.