Quantiphi
Website:
quantiphi.com
Job details:
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!
Required Skills
- Experience: 15+ years of relevant experience in building cloud-native, hybrid, or multi-cloud solutions.
- Experience with Databricks implementations - developing data pipelines using PySpark
- Experience in Databricks Workspaces,Notebooks, Delta Lake, APIs
- Expertise in production grade solutions using: 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
- Experience with migration of databases to AWS. Strong ability in creating roadmaps and architecture to execute migration workloads on AWS.
- Exposure to ETL tools and Data warehouse.
- Experience in SQL and Query optimisation. Proficient in SQL-based technologies (MySQL, Oracle DB,SQL Server etc.)
- Experience in creation and maintenance of data dictionaries, metadata repositories, and data lineage documentation.
- 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
Good To Have Skills
- Experience with AWS services - S3,Redshift,Secrets Manager
- Experience in implementing data integration projects using ETL
- Experience in using Airflow or Step Functions for orchestration
- Exposure to IaC tools like Terraform and to CI/CD tools
- Prior experience in migrating (on-prem to cloud) and processing large amounts of data
- Experience in implementing data lake and data warehouse on cloud
- Experience in implementing the industry's best practices
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Click on Apply to know more.