Associate Architect

5 days ago

Bengaluru Karnataka, India Quantiphi Full time

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you
- you would enjoy your career with Quantiphi

Role: Associate Architect - Data

Experience: 6+ Years

Work location: Mumbai/Bangalore/Trivandrum (Hybrid)

**Responsibilities**:
- 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.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us__

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