Hybrid Associate Architect - Data presso Quantiphi

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!

Experience: 3 to 8 Years

Location : Mumbai/ Bangalore/ Trivandrum (Hybrid)

Role : Data Engineering

Required Skills:

• Experience: 8+ years of relevant experience in building cloud-native, hybrid, or multi-cloud solutions.

• Expertise in production grade solutions using: AWS (Redshift, S3, Glue, Lambda, Airflow), Pyspark, Python, Data pipelines using Glue/Airflow/Sagemaker.

• Hands-on experience in AWS Cloud with services such as AWS Glue, AWS Redshift, DynomoDB, AWS kinesis family, AWS RDS, AWS EC2, Lambda, S3 for ETL.

• Proficient in writing Python/Pyspark and SQL scripts.

• Experience in SQL and Query optimization. Proficient in SQL-based technologies (MySQL, Oracle DB,SQL Server etc.)

• Exposure to ETL tools (DBT, Matillion) and Data warehouse.

• Experience in designing relational, multidimensional , and Master data management systems.

• Exposure in designing solution based on medallion architecture, Lake house

• Experience in creation and maintenance of data dictionaries, metadata repositories, and data lineage documentation.

• 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

Good to have skills:

• Experience in leading enterprise grade ML model migration workloads from on-premise/GCP to AWS.

• Prior experience of planning migration roadmaps for production workloads deployed on-prem or on IAAS provider infrastructure to AWS.

• 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.

• Established data governance policies, procedures, and standards.