Machine Learning Engineer

Responsibilities

·        Design and architect data virtualization solutions using Denodo.

·        Collaborate with business analysts and data engineers to understand data requirements and translate them into technical specifications.

·        Implement best practices for data governance and security within Denodo environments.

·        Lead the integration of Denodo with various data sources, ensuring performance optimization.

·        Conduct training sessions and provide guidance to technical teams on Denodo capabilities.

·        Participate in the evaluation and selection of data technologies and tools.

·        Stay current with industry trends in data integration and virtualization.

Requirements

·        Bachelor's degree in Computer Science, Information Technology, or a related field.

·        10+ years of experience in data architecture, with a focus on Denodo solutions.

·        Strong knowledge of data virtualization principles and practices.

·        Experience with SQL and data modeling techniques.

·        Familiarity with ETL processes and data integration tools.

·        Excellent communication and presentation skills.

·        Ability to lead technical discussions and provide strategic insights.

·        Certifications related to Denodo or data architecture are a plus

Key Responsibilities:

• Perform comprehensive Functional and Integration Testing across Oracle modules and connected systems.
• Conduct detailed End-to-End (E2E) Testing to ensure business processes function seamlessly across applications.
• Collaborate with cross-functional teams, including Business Analysts, Developers, and Automation teams, to validate business requirements and deliver high-quality releases.
• Identify, document, and track functional defects, ensuring timely closure and root cause analysis.
• Execute and validate SQL queries for backend data verification and cross-system data consistency checks.
• Participate in regression cycles and support continuous improvement initiatives through data-driven analysis.

Required Skills & Competencies:

• Strong knowledge of Functional Testing processes and methodologies.
• Good to have Oracle fusion knowledge
• Solid understanding of Integration Flows between Oracle and peripheral systems.
• Proven ability in E2E Testing, including scenario design, execution, and defect management.
• Excellent Analytical and Logical Reasoning skills with attention to detail.
• Hands-on experience with SQL for data validation and analysis.
• Effective communication, documentation, and coordination skills.

Preferred Qualifications:

• Exposure to automation-assisted functional testing and cross-platform data validation.
• Experience in identifying test optimization opportunities and improving testing efficiency.

Job Summary:

We are looking for a friendly, energetic, and sales-oriented Front Desk Executive to manage the reception area and actively sell gym memberships. The role involves greeting members, handling inquiries, converting walk-ins into members, and ensuring timely membership renewals while delivering excellent customer service.

Key Responsibilities:

• Greet and assist members, walk-in clients, and visitors in a professional manner
• Explain gym facilities, services, pricing, and membership plans to prospective clients
• Actively sell new gym memberships and achieve monthly sales targets
• Follow up with existing members for membership renewals
• Handle membership registrations, renewals, and documentation
• Maintain accurate records of members, payments, and enquiries
• Answer phone calls, respond to queries, and handle appointment scheduling
• Coordinate with trainers and management regarding member requirements
• Handle cash/card payments and issue receipts
• Ensure the front desk area is clean, organized, and welcoming
• Address member concerns and escalate issues when required

Required Skills & Qualifications:

• Minimum qualification: 12th pass / Graduate preferred
• 1–2 years of experience in front desk, customer service, or sales (gym/fitness industry preferred)
• Strong communication and interpersonal skills
• Sales-driven mindset with the ability to close deals
• Basic computer knowledge (MS Excel, CRM, billing software)
• Pleasant personality and professional appearance

Join the KGISL Micro college Team as a Social Media Content Creator!

Are you bursting with creative energy, a flair for storytelling, and a sharp eye for design? We're seeking a dynamic Social Media Content Creator to craft compelling narratives and generate brand buzz across digital platforms.

What You'll Be Doing:

• Develop original and engaging scripts for Reels, videos, and social media posts
• Strategize and produce content tailored for Instagram, LinkedIn, YouTube, and Facebook
• Collaborate closely with designers to visually bring your ideas to life
• Keep your finger on the pulse of digital trends to create content that’s fresh, relevant, and share-worthy

AWS Glue Developer 

Work Experience: 6 to 8 Years

Work Location:  Noida, Bangalore, Chennai & Hyderabad

Must Have Skills: AWS Glue, DMS, SQL, Python, PySpark, Data integrations and Data Ops, 

Job Reference ID:BT/F21/IND

Job Description:

Design, build and configure applications to meet business process and application requirements.

Responsibilities:

7 years of work experience with ETL, Data Modelling, and Data Architecture Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark Extensive experience to build data platforms on AWS using core AWS services Step function, EMR, Lambda, Glue and Athena, Redshift, Postgres, RDS etc and design/develop data engineering solutions. Orchestrate using Airflow.

Technical Experience:

Hands-on experience on developing Data platform and its components Data Lake, cloud Datawarehouse, APIs, Batch and streaming data pipeline Experience with building data pipelines and applications to stream and process large datasets at low latencies.

➢ Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

➢ Create data pipeline architecture by designing and implementing data ingestion solutions.

➢ Integrate data sets using AWS services such as Glue, Lambda functions/ Airflow.

➢ Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena.

➢ Author ETL processes using Python, Pyspark.

➢ Build Redshift Spectrum direct transformations and data modelling using data in S3.

➢ ETL process monitoring using CloudWatch events.

➢ You will be working in collaboration with other teams. Good communication must.

➢ Must have experience in using AWS services API, AWS CLI and SDK

Professional Attributes:

➢ Experience operating very large data warehouses or data lakes Expert-level skills in writing and optimizing SQL Extensive, real-world experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technology.

➢ Must have 6+ years of big data ETL experience using Python, S3, Lambda, Dynamo DB, Athena, Glue in AWS environment.

➢ Expertise in S3, RDS, Redshift, Kinesis, EC2 clusters highly desired.

Qualification:

➢ Degree in Computer Science, Computer Engineering or equivalent.

Salary: Commensurate with experience and demonstrated competence