Associate Architect

Job Profile: Associate Architect - Data
Job Location: Mumbai/Bangalore (Hybrid)
Experience: 6 to 9 Years
Required Skills

• AWS (Redshift, S3, Glue, Lambda, Airflow), Pyspark, Python, Data pipelines using

Glue/Airflow/Sagemaker

• Hands-on experience in working on large cloud-based migration workloads involving SQL and NoSQL Databases
• Hands-on experience in AWS Cloud with services such as AWS Glue, AWS Redshift, AWS EC2, Lambda, S3 for ETL.
• Proficient in writing Python/Pyspark and SQL scripts.
• Experience in SQL and Query optimisation. Proficient in SQL-based technologies (MySQL,Oracle DB,SQL Server etc.)
• Experience of working on data warehouse projects preferably leveraging Redshift.
• Experience building and supporting large-scale systems in a production environment.
• Strong skills to mentor and manage teams of junior and senior data engineers and leading end to end delivery of technical workloads.
• Experience using Github/codecommit for developmental activities
• Experience in unit testing python codes
• Experience in building data pipelines using Glue/Airflow/Sagemaker pipelines would be preferable
• Demonstrated problem solving, communication and organizational skills, a positive attitude, and the proven ability to negotiate and influence others to obtain desired results.
• Ability to speak in business terms, as well as the ability to effectively communicate both internally and externally.
• Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
• Ability to clearly communicate technical roadmap, challenges and mitigation.

Good To Have Skills

• Experience in leading enterprise grade ML model migration workloads from GCP to AWS.
• Experience of working on projects that involve models deployed in Sagemaker leveraging data engineering pipelines in AWS.
• Experience of working for customers/workloads in the retail domain with use cases.
• Experience and understanding of conventional ML models is a plus.