Business Development Executive

Key Responsibilities:

· Design, develop, and maintain AEM-based backend solutions, components, and templates.

· Develop custom AEM Sling models, servlets, services, and OSGi components.

· Build and integrate RESTful services and APIs to support frontend and third-party systems.

· Work closely with frontend developers and AEM content authors to support dynamic content delivery.

· Develop automation scripts using Java/Python for data handling, deployment, and reporting needs.

· Implement AEM workflows, user permissions, and version control for content.

· Troubleshoot and resolve technical issues in AEM environments.

· Optimize AEM performance, scalability, and security configurations.

What You’ll Bring:

· Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.

· Proven experience delivering high-quality web applications.

Mandatory Skills

· 3+ years of experience in AEM backend development.

· Strong hands-on experience with Java, OSGi, Sling, and JCR.

· Experience with Python for backend scripting, automation, or integration tasks.

· Knowledge of AEM architecture including dispatcher, replication agents, and workflows.

· Experience working with AEM APIs, servlets, event handlers, schedulers, and custom components.

· Understanding of REST APIs, JSON/XML data handling.

· Familiarity with Maven, Git, Jenkins, and Agile development practices

Preferred Skills (Nice to Have):

· Exposure to Adobe Experience Cloud tools like Adobe Target, Analytics, Campaign.

· Working knowledge of cloud-based AEM (Adobe as a Cloud Service) is a plus.

· Basic familiarity with frontend technologies (React/Angular/HTL) is beneficial.

Experience: 4+ years.

Location: Vadodara & Pune

Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines

What you'll be doing:

• Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
• Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
• Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
• Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
• Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
• Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
• Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
• Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
• Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.

What you need:

Basic Skills:

• 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
• Strong experience with Apache Kafka for stream processing and real-time data integration.
• Proficiency in SQL and ETL/ELT processes.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
• Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a collaborative team environment and communicate effectively with cross-functional teams

Responsibilities:

• Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
• Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
• Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
• Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
• Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
• Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
• Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
• Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
• Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
• Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform. 

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

Skills:

• 6+ years of experience in AI/ML engineering.
• Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
• Experience in Natural Language Processing (NLP) and Computer Vision.
• Expertise in Generative AI techniques.
• Familiarity with cloud platforms such as Azure and AWS.
• Strong background in statistical modelling and content customization.
• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills

• Research industry-related topics (combining online sources, interviews and studies)
• Write clear marketing copy to promote our products/services
• Prepare well-structured drafts using Content Management Systems
• Proofread and edit blog posts before publication
• Submit work to editors for input and approval
• Coordinate with marketing and design teams to illustrate articles
• Conduct simple keyword research and use SEO guidelines to increase web traffic
• Promote content on social media
• Identify customers’ needs and gaps in our content and recommend new topics
• Ensure all-around consistency (style, fonts, images and tone)
• Update website content as needed

• Bachelor's Degree BBA/BSc in Marketing, English, Journalism or related field
• Proven work experience as a Content Writer, Copywriter or similar role if available
• Familiarity with web publications
• Excellent writing and editing skills in English
• Ability to meet deadlines

Job Description:

• Develop front end User Interface of our UKLB Experience Analysis (Biometrics) tool using SharePoint, PowerApps, Power Automate, and Logic Apps
• Connection of UI with back end SQL Database using Logic Apps - Advise solution design as a Logic Apps expert (specifically around UI)
• Responsible for managing technology in projects and providing technical guidance or solutions for work completion

Skills and Experience

• Experience with Azure services like Azure App Services, Azure Active Directory, Azure SQL, Azure PostgreSQL, Key Vault, Azure DevOps, Application Insights, Azure Storage, Redis Cache
• Microsoft Azure Developer Certification
• Experience with .Net SDK, integration tools, Application and Security frameworks
• C#, ASP.NET, Application development using .Net Framework
• Preferred: Insurance or BFSI domain experience
• .Net
• Azure/

Location: Chennai