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Senior Principal consultant- Data Engineer

Senior Principal consultant- Data Engineer

Genpact

0 years

0 Lacs

pune maharashtra india

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Inviting applications for the role of Senior Principal Consultant, Data Engineer-ML!

In this role, we are looking for candidates who have relevant years of experience in designing and developing machine learning and deep learning system. Who have professional software development experience. Hands on running machine learning tests and experiments. Implementing appropriate ML algorithms engineers.

Responsibilities

Drive the vision for modern data and analytics platform to deliver well architected and engineered data and analytics products leveraging cloud tech stack and third-party products

Close the gap between ML research and production to create ground-breaking new products, features and solve problems for our customers

Design, develop, test, and deploy data pipelines, machine learning infrastructure and client-facing products and services

Build and implement machine learning models and prototype solutions for proof-of-concept

Scale existing ML models into production on a variety of cloud platforms

Analyze and resolve architectural problems, working closely with engineering, data science and operations teams.

Design and develop data pipelines:

Implement data solutions:

Ensure data quality:

Collaborate with teams:

Optimize performance:

Experience in GenAI project

Qualifications we seek in you!

Minimum Qualifications / Skills

Bachelor%27s degree in computer science engineering, information technology or BSc in Computer Science, Mathematics or similar field

Master's degree is a plus

Integration - APIs, micro-services and ETL/ELT patterns

DevOps (Good to have) - Ansible, Jenkins, ELK

Containerization - Docker, Kubernetes etc

Orchestration - Airflow, Step Functions, Ctrl M etc

Languages and scripting: Python, Scala Java etc

Cloud Services - AWS, GCP, Azure and Cloud Native

Analytics and ML tooling - Sagemaker, ML Studio

Execution Paradigm - low latency/Streaming, batch

Preferred Qualifications/ Skills

Data platforms - Big Data (Hadoop, Spark, Hive, Kafka etc.) and Data Warehouse (Teradata, Redshift, BigQuery, Snowflake etc.)

Visualization Tools - PowerBI, Tableau

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