SENIOR DATA MLOPS ENGINEER


Experience

3+ years of experience with any data warehouse technical architectures, ETL/ELT, and reporting/analytics tools including, but not limited to, any of the following combinations (1) SSIS and SSRS, (2) SAS ETL Framework, (3) SAP ETL Framework, (4) MongoDB ETL deployments, (5) Apache Spark and Apache Hive deployments will be beneficial.

Working with large volumes of structured and unstructured data and leveraging them to build artificial intelligence (AI)/machine learning (ML) and predictive modelling (PM) solutions through end-to-end automated data pipelines.

Deep and Extensive AWS knowledge and skills: Glue, S3, Lambda, IAM, CloudFormation.

The candidate having DBA ability and knowledge across at least 2 platforms (example: TSQL, SAS, PSQL, IBM VSAM and DB2 etc.) will also be beneficial.

Some experience with the Python programming language.  Experience with designing and implementing Cloud (AWS) solutions including use of APIs available.

Some experience with Dev/OPS architecture, implementation and operation would be advantageous.

Minimum bachelor’s degree in quantitative management (decision sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics.

Knowledge of Engineering and Operational Excellence using standard methodologies. Best practices in software engineering, data management, data storage, data computing and distributed systems to solve business problems with data.

Some experience in applying SAFe/Scrum/Kanban methodologies would be advantageous.

Knowledge and understanding of business process management lifecycle which covers the design, modelling, execution, monitoring, and optimization as well as business process re-engineering.

Good problem-solving skills: The ability to exercise judgment in solving technical, operational, and organizational challenges, to identify issues proactively, to present solutions and options leading to resolution.

Good programming, performance tuning and troubleshooting skills, using the latest popular programming languages such as Python, scala, java and suite of Microsoft languages C# and F# preferable.

Qualifications

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