Senior Data Specialist
Job Summary
Job Description
This role is for a Senior Data Specialist with 8 years of IT experience, focusing on AWS data platform development. The specialist will be responsible for designing and implementing end-to-end data solutions using AWS services like S3, Redshift, Aurora, Glue, and Lambda. Strong programming skills in Python, experience with data frames, and expertise in orchestration tools like Airflow are essential. The position requires mandatory experience with AWS Redshift, including performance tuning and federated queries, along with excellent communication skills for stakeholder management.
Must have:
- 8 years of IT experience with deep expertise in AWS services (S3, Redshift, Aurora, Glue, Lambda).
- Proven experience in developing end-to-end data platforms using AWS.
- Hands-on programming experience with Data Frames and Python.
- Experience in orchestrating mechanisms like Airflow or Step functions.
- Mandatory experience working on AWS Redshift.
- Experience writing stored procedures and understanding Redshift data API.
- Experience in Redshift performance tuning.
- Good communication and problem-solving skills.
3 skills required
Job Details
Primary Skills
- Athena, SNS, SQS, CloudWatch, Kinesis, Redshift
Job requirements
- AWS Sr Developer 8 year of IT experiences with deep expertise in S3, Redshift, Aurora, Glue and Lambda services. Atleast one instance of proven experience in developing Data platform end to end using AWS Hands-on programming experience with Data Frames, Python, and unit testing the python as well as Glue code. Experience in orchestrating mechanisms like Airflow, Step functions etc. Experience working on AWS redshift is Mandatory. Must have experience writing stored procedures, understanding of Redshift data API and writing federated queries Experience in Redshift performance tunning.Good in communication and problem solving. Very good stakeholder communication and management.
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