Current Openings: Backend Developer (Minimum 1 year+ experience) | Frontend Developer

 🚀 Unlock Your Future at Quadrical AI! 🌐

Are you ready to be a part of groundbreaking innovation and cutting-edge technology? Quadrical AI is on the lookout for dynamic individuals to join our team and shape the future of artificial intelligence. Your journey with us begins right here!

Current Openings:

1. Backend Developer (Minimum 1 year+ experience) 🚀 Job Description - Explore Your Future

2. Frontend Developer (Minimum 1 year+ experience) 🚀 Job Description - Shape Tomorrow

📝 How to Apply: click here for applyclick here for apply

1. Fill out our quick 5-minute form to expedite the process.
2. Don't forget to email your resume to pragya@quadrical.ai.

At Quadrical AI, we value your time, and this form helps us streamline the hiring process. We appreciate your interest and look forward to discovering the unique skills and talents you'll bring to our team.

🌐 About Quadrical AI: We are at the forefront of revolutionizing artificial intelligence, and your expertise can play a pivotal role in shaping the future. Join us in creating cutting-edge solutions that make a lasting impact.

🚀 Accelerate Your Career - Join Quadrical AI Today! 🚀

Job Advertisement for Systems Engineer at Infosys Limited, Bangalore

 Job Advertisement for Systems Engineer at Infosys Limited, Bangalore

Are you a dynamic individual with a passion for ensuring privacy and data protection in the ever-evolving technological landscape? Infosys Limited, a global leader in consulting, technology, and outsourcing solutions, is seeking a talented Systems Engineer to join our Data Privacy Office in Bangalore.

Job Title: Systems Engineer

Job ID/Reference Code: INFSYS-EXTERNAL-175852

Work Experience: 0-5 Years (2023, 2022-2020 Batch Preferred)

Responsibilities:

• Advise delivery teams on the implementation of privacy-related requirements.
• Conduct employee awareness sessions on the lawful handling of personally identifiable information.
• Assess subcontracting/outsourcing of data processing and recommend privacy controls.
• Conduct internal audits to ensure compliance with data privacy regulations.
• Identify and assess risks, plan and implement risk mitigation plans.
• Lead the data breach handling process for effective resolution of privacy-related gaps.
• Manage personal data access requests from individuals.
• Liaise with external Privacy and Data Protection Counsel for expert views and audits.
• Identify and implement internal initiatives on Data Privacy.

Technical and Professional Requirements:

• Excellent understanding of internal processes and systems across various enterprise functions.
• Strong understanding of Delivery operations.
• Quick learner with excellent business communication skills.
• Privacy certifications such as CIPP (US/EU/IT), DCPLA, DCPP are desirable.

Preferred Skills:

• Data Privacy expertise, including knowledge of General Data Protection Regulation (GDPR) and relevant certifications (CIPT, CIPP, DCPLA).

Educational Requirements:

• Bachelor of Engineering.

Service Line: Data Privacy Office

If you are a proactive and enthusiastic individual with a keen interest in data privacy, we invite you to join our team at Infosys Limited. Be part of a global organization that values innovation, diversity, and continuous learning. Apply now and contribute to shaping the future of data privacy!

click here To apply, visit our careers portal and search for Job ID/Reference Code: [INFSYS-EXTERNAL-175852].

Hiring Fresher Software Developer in Morning Star

Software Developer opening in Morning Star for  fresher

👉   Apply

 Role: Associate Software Engineer, Quantitative Research(2023,2022,2021,2020,2019)

The Group: Morningstar’s Quantitative Research Group creates independent investment research and data-driven analytics designed to help investors and Morningstar achieve better outcomes by making better decisions. We utilize statistical rigor and large data sets to inform the methodologies we develop. Our research encompasses hundreds of thousands of securities within a large breadth of asset classes including equities, fixed income, structured credit, and funds. Morningstar is one of the largest independent sources of fund, equity, and credit data and research in the world, and our advocacy for investors’ interests is the foundation of our company.

The Role: As an Associate Software Engineer, you will work along with Quant Researchers, Data Scientists to support all Data engineering initiatives. This role requires exploring Microservices, Big Data and Batch Data pipelines for structured/unstructured data to help ingest massive amounts of data required for statistical, machine learning & AI model execution. This role requires interaction with business, data collections, Development teams across Data and Research. As an Associate Data Engineer, you would be keen to develop proficiency in Big data technologies and be comfortable programming in Python.

You are an individual who possesses strong technical skills, loves cloud technology, has good problem solving & consulting skills, and has an eye for picking up challenging opportunities. You also enjoy working with cross-functional technical teams on complex problems and are always looking to improve yourself and others around you. 

Responsibilities:

• Build/ Support Data Engineering pipelines leveraging massive amounts of structured, unstructured financial/non-financial data.

• Research varied cloud/ AWS Tools (Microservices, Big Data & Batch Services) for building data pipelines to ingest massive amounts of big data.

• Program Python, SQL queries to support varied data pipeline requests.

• Support/ build data-marts (SQL/NoSQL) to support various dashboarding needs.

• Interacting with cross-functional business and technical teams for Building Data Dictionaries.

• Effectively communicate with data and technical team to understand the requirement and gain the knowledge about integrating varied data types.

• Create and track issues and validate to completion.

Requirements:

• Knowledge of programming experience in Python(Pandas/ Numpy) and OOPS principles.

• Good knowledge of SQL/NoSQL (preferred)databases.

• Knowledge of Hadoop stack is preferred (SQOOP, HDFS, Hive, Spark).

• Good knowledge of software engineering practices.

• BS degree in engineering, computer science, statistics, mathematics or equivalent practical experience

• Knowledge of AWS ecosystem (Lambda, EC2, RDS, EMR, Athena, Glue)

• Experience with UNIX/Linux including basic commands and shell scripting.

• Familiarity with mutual fund, fixed income, and equity data is a plus.

• Intellectual curiosity for the world of quantitative research

• Fluent in both oral and written English.