Consultant - Business Consulting (Data Science/Data Engineering)

Job Description:

• Join Infosys Consulting s Automation AI Practice working on cutting edge solutions
• You will collaborate with AI consultants and SMEs to design and deliver advanced analytics data engineering and AI driven solutions
• This is an opportunity to work on high impact initiatives develop thought leadership and contribute to innovative projects in AI and automation
• You will be entrepreneurial inspired by execution excellence possess strong design skills creating client deliverables and bid documents highly analytical emotionally intelligent a team player and only satisfied when your work has a meaningful impact
• You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge
• Infosys Consulting offers exceptional opportunity for personal growth and alongside client engagements you will be recognized for your personal contribution to leading and developing new opportunities developing thought leadership and service offerings in the domains of artificial intelligence and automation

Key Responsibilities:

• Key Responsibilities Common Across Roles
• Design and develop data pipelines ETL processes and analytical solutions
• Collaborate with cross functional teams to understand business requirements and deliver scalable solutions
• Ensure compliance security and performance in data solutions
• Communicate effectively with stakeholders and present technical solutions clearly
• Work in Agile environments and contribute to CI CD practices
• Role Specific Responsibilities Data Scientist
• Build and deploy machine learning models and AI solutions
• Perform statistical analysis hypothesis testing and data exploration
• Work on NLP computer vision and deep learning use cases
• Utilize frameworks like TensorFlow PyTorch Scikit Learn BERT
• Role Specific Responsibilities Azure Data Engineer
• Develop data pipelines using Python PySpark Pandas on Azure
• Work with Azure Data Factory Databricks Synapse Data Lake Azure SQL DWH
• Implement DevOps practices CI CD pipelines and manage code with Git
• Role Specific Responsibilities AWS Data Engineer
• Build data pipelines using Python PySpark Pandas on AWS
• Work with AWS Lambda Glue Athena Redshift Kinesis EMR S3
• Experience with Airflow DAGs Snowflake Redshift and test frameworks like Pytest

Technical Requirements:

• Eligibility Requirements
• Common Requirements
• Strong programming skills in Python Java R for some roles
• Expertise in SQL and relational databases Oracle PostgreSQL SQL Server
• Bachelor s Master s degree in Computer Science IT Statistics or related field
• Excellent communication and problem solving skills
• Eligibility Requirements Data Scientist
• 5 18 years of experience in Data Science
• Strong knowledge of ML algorithms Regression Random Forest SVM Neural Networks
• Exposure to Deep Learning NLP and Computer Vision
• Eligibility Requirements Azure Data Engineer
• 5 18 years of experience in Data Engineering
• Hands on with Azure ecosystem ADF Databricks Synapse Data Lake
• Eligibility Requirements AWS Data Engineer
• 5 18 years of experience in Data Engineering
• Hands on with AWS ecosystem Glue Lambda Redshift Kinesis EMR

Additional Responsibilities:

• Locations Offered Bengaluru Hyderabad Chennai Noida Gurgaon Chandigarh Pune Nagpur Mumbai Trivandrum Mysuru Coimbatore Indore Kolkata Bhubaneswar

Preferred Skills:

Technology->Cloud Platform->Azure Analytics Services->Azure Data Factory,Technology->Data Engineering->Databricks,Technology->Machine learning->data science,Technology->Machine Learning->Python