Bengaluru, Karnataka, India On-site

Full-time
10,001+ employees · Financial Services

Qualifications Include

2-5 years of hands-on experience developing analytical solutions, data visualizations, and interactive experiences in a fast-paced environment
Bachelor's Degree (or higher) in a quantitative discipline (e.g. Computer Science, Data Science, Engineering, Applied Statistics, Mathematics or similar)
Strong data visualization capabilities, including at least 1 year of experience in Tableau, Qlikview or similar tools to design and implement analytics
At least 1 year of experience in data sourcing, transformation and clean up, including use of data ETL tools such as Alteryx (preferred), Informatica, Tableau Prep
Intermediate to Advanced knowledge of Excel (pivot tables, charting, macros, calculations)
Coding experience a plus, e.g., SQL, HTML, CSS, Python, JavaScript
Practical understanding of Jira, Confluence, Sharepoint

An Associate In Business Management Would Be Expected To

Leveraging data visualization tools such as Tableau and QlikView and data transformation tools such as Alteryx to build impactful dashboards for leadership and GTI stakeholders
Conducting clear analysis, logical structuring, and creative problem solving on critical issues
Working with stakeholders on requirements for key business metrics, visualization, delivery and enabling actionable insights
Collaborating with the other GTI teams and present recommendations on how to strategically solve problems and convey key messages using data visualization
Data storytelling to give context and highlight insights based on the data
Building relationships with technology management, internal users and external stakeholders

Atlanta, GA

Full-time
10,001+ employees · IT Services and IT Consulting

Responsibilities

Participate in the design and implementation of sophisticated software systems using either object-oriented or functional programming techniques implemented in Go, Java, or Scala languages.
Participate in software design and code reviews. Reviews include other Software Engineers and are held to ensure a high level of software quality and to share knowledge with team members.
Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), Jira, and Stash.
Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members.
Work well independently and as part of a team.

Knowledge

Solid experience implementing high availability, scalable cloud solutions
Strong understanding of data structures and algorithms
Knowledge of functional programing languages and techniques
Knowledge of object-oriented programming languages and techniques
Solid understanding of concurrency and concurrent programming techniques
Solid understanding of distributed computing techniques
Knowledge and understanding of operating with data in large scale

Required Technical and Professional Expertise

Bachelor’s degree in Computer Science
Proficient with operating and deploying solutions using AWS Services including S3, EMR, SQS, SNS, Lambdas, Athena, Glue, Kinesis and MSK.
Proficient at programming with one or more of the following programming languages: Scala, Java, and Go.
Proficient with building data integrations using both API and file based protocols.
Proficiency with test-driven development and unit testing.
Proficiency with Git Version Control.
Experience with CI/CD pipeline patterns and best practices
Experience with alerting and monitoring tools like Grafana
Must desire to learn new technologies and languages.
Able to put together process documentation concisely and clearly.
Excellent written and verbal communication skills.
Able to work closely and effectively with peer developers and work on several active projects simultaneously.

Preferred Technical And Professional Expertise

Proficiency with scripting languages such as python and nodejs is a plus.
Basic understanding of Machine Learning and Data Science concepts is a plus. Experience with big data technologies such as Cassandra, Spark, Hadoop, Parquet, Redash etc. is desired.

Atlanta, GA

Full-time
10,001+ employees · IT Services and IT Consulting

Responsibilities

Participate in the design and implementation of sophisticated software systems using either object-oriented or functional programming techniques implemented in Go, Java, or Scala languages.
Participate in software design and code reviews. Reviews include other Software Engineers and are held to ensure a high level of software quality and to share knowledge with team members.
Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), Jira, and Stash.
Maintain a high level of proficiency with Computer Science/Software Engineering knowledge and contribute to the technical skills growth of other team members.
Work well independently and as part of a team.

Knowledge

Solid experience implementing high availability, scalable cloud solutions
Strong understanding of data structures and algorithms
Knowledge of functional programing languages and techniques
Knowledge of object-oriented programming languages and techniques
Solid understanding of concurrency and concurrent programming techniques
Solid understanding of distributed computing techniques
Knowledge and understanding of operating with data in large scale

Required Technical and Professional Expertise

Bachelor’s degree in Computer Science
Proficient with operating and deploying solutions using AWS Services including S3, EMR, SQS, SNS, Lambdas, Athena, Glue, Kinesis and MSK.
Proficient at programming with one or more of the following programming languages: Scala, Java, and Go.
Proficient with building data integrations using both API and file based protocols.
Proficiency with test-driven development and unit testing.
Proficiency with Git Version Control.
Experience with CI/CD pipeline patterns and best practices
Experience with alerting and monitoring tools like Grafana
Must desire to learn new technologies and languages.
Able to put together process documentation concisely and clearly.
Excellent written and verbal communication skills.
Able to work closely and effectively with peer developers and work on several active projects simultaneously.

Preferred Technical And Professional Expertise

Proficiency with scripting languages such as python and nodejs is a plus.
Basic understanding of Machine Learning and Data Science concepts is a plus. Experience with big data technologies such as Cassandra, Spark, Hadoop, Parquet, Redash etc. is desired.

Location :St Louis (iii) - MO

Client: NA

Job summary
• Data science project framework module creation using python.
• Should be an expert in python development activities.
• Good experience in working with machine learning algorithms and validation techniques
• Feature extraction analysis methods and algorithms.
• Knowledge in data engineering tools and techniques are an added advantage.

Experience 10to12yrs
Shift Day 10 AM TO 7 PM IST

• Required Skills Technical Skills- Python Domain Skills

• Nice to have skills Technical Skills- PL/SQL,3NF data modeling
• Domain Skills- Technology Analytics