AEM Developer

We are looking for an experienced Safety Manager to oversee and implement safety policies at construction sites. The role involves ensuring compliance with safety regulations, conducting risk assessments, and maintaining a safe working environment for all employees and workers.

Experience

• Minimum 8–15 years of experience in the construction safety sector.
• Good understanding of MBOCW Rules and safety standards.
• Adequate knowledge of the local language spoken by workers at the project location.

About the Role

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor. The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production.

The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows, along with excellent problem-solving and client-facing skills.

Key Responsibilities

Forward Deployed Engineering

• Work directly with clients and stakeholders to understand business and technical requirements.
• Translate business problems into scalable technical and data solutions.
• Rapidly prototype, test, iterate, and productionize solutions.
• Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
• Troubleshoot production issues and continuously improve deployed solutions.
• Act as a technical bridge between clients and internal engineering teams.

Databricks & Data Engineering

• Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL.
• Build and optimize ETL/ELT and data processing pipelines.
• Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows.
• Develop data ingestion and transformation pipelines for structured and semi-structured data.
• Optimize Databricks workloads for performance, scalability, reliability, and cost.
• Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Cursor & AI-Assisted Development

• Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
• Effectively use AI coding assistants to understand existing codebases and develop new features.
• Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code.
• Use AI-assisted development for rapid prototyping and proof-of-concept development.
• Work with modern AI/LLM APIs and tools where required for customer solutions.
• Stay current with emerging AI-assisted software engineering practices.

Production & Deployment

• Develop production-ready applications, APIs, and data pipelines.
• Work with Git, CI/CD, APIs, containers, and cloud environments.
• Monitor application and pipeline performance and resolve production issues.
• Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
• Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.

Required Skills & Experience

• 4+ years of experience in Software Engineering, Data Engineering, AI Engineering, or a related field.
• Strong hands-on experience with Databricks.
• Strong proficiency in Python, PySpark, and SQL.
• Experience with Delta Lake and Lakehouse architecture.
• Experience building production-grade data pipelines.
• Hands-on experience with Cursor or similar AI-powered coding assistants.
• Strong understanding of REST APIs and system integrations.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Strong debugging, problem-solving, and analytical skills.
• Excellent communication and client-facing abilities.

Preferred Skills

• Experience with Databricks Unity Catalog, Workflows, and MLflow.
• Experience with Generative AI / LLM applications.
• Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms.
• Experience with RAG, vector databases, embeddings, or AI agents.
• Experience with Docker, Kubernetes, and CI/CD.
• Experience in a consulting, customer-facing engineering, or professional services environment.
• Exposure to Agile/Scrum methodologies.

Key Competencies

• Strong problem-solving and ownership mindset
• Ability to work in ambiguous and fast-paced environments.
• Strong client/stakeholder management skills.
• Ability to understand business requirements and convert them into technical solutions.
• Strong communication and presentation skills.
• Ability to rapidly learn new technologies and tools.
• Comfortable working with AI-assisted development while maintaining high engineering standards.

Education

• Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline.

Required Skills and Qualifications :

• Bachelor’s degree in Computer Science, Information Technology, or a related field. 
• Proven experience as a Data Modeler or in a similar role at a asset manager or financial firm. 
• Strong Understanding of various business concepts related to buy side financial firms. Understanding of Private Markets (Private Credit, Private Equity, Real Estate, Alternatives) is required. 
• Strong understanding of database design principles and data modeling techniques (e.g., ER modeling, dimensional modeling). 
• Knowledge of SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL). 
• Familiarity with NoSQL databases is a plus. 
• Excellent analytical and problem-solving skills. 
• Strong communication skills and the ability to work collaboratively. 

Preferred Qualifications: 

• Experience in data warehousing and business intelligence. 
• Knowledge of data governance practices. 
• Certification in data modeling or related fields.
•  

Key Responsibilities :

• Design and develop conceptual, logical, and physical data models based on business requirements. 
• Collaborate with stakeholders in finance, operations, risk, legal, compliance and front offices to gather and analyze data requirements. 
• Ensure data models adhere to best practices for data integrity, performance, and security. 
• Create and maintain documentation for data models, including data dictionaries and metadata. 
• Conduct data profiling and analysis to identify data quality issues. 
• Conduct detailed meetings and discussions with business to translate broad business functionality requirements into data concepts, data models and data products.

Responsibilities:

.Create exclusive distributors, super stockiest & business associates and guide, and coordinate them to achieve the target for the company towards the business growth.

.Make a strategic marketing plan for the sales team working under his jurisdiction.

.Observe all the stock reports, inventory, product orders, re-order etc.

Requirements:

.Bachelor's degree in business, marketing or a related field.

.Experience in sales, marketing or related field.

.Strong communication skills and excellent organizational skills.

.Proficient in Word, Excel, Outlook, and Powerpoint.

Responsibilities and Key Accountabilities:

• Executing tests, collecting and analysing data, identifying trends and insights in order to

achieve maximum ROI in paid search campaigns

• Tracking, reporting and analysing website analytic, pay-per-click (PPC) initiatives and

campaigns

• Managing campaign expenses, staying on budget, estimating monthly costs and reconciling

discrepancies

• Taking the overall ownership of the allocated accounts in term of initial research of

Keywords and Targeting, Account setup, Ad writing, Campaign setup, Campaign

Optimization, Campaign reports and Client and Internal Team Co-ordination

• Punctual and Disciplined towards the Work and Office Etiquette's

Education Required:

• The knowledge, skills and abilities typically acquired through the completion of a

bachelor's degree program or equivalent degree in a field of study related to the job.

• Google AdWords Certified Years of Relevant Work Experience: Minimum 2 years

Knowledge, Skills, Abilities and Competencies:

• Proven experience in managing PPC campaigns across Google, and Social Media Platforms

• Knowledge of performance marketing, conversion, and online customer acquisition

• Up-to-date with the latest trends and best practices in search engine marketing

• Experience with website analytics tools (e.g., Google Analytics)

• Strong analytical skills and experience generating SEM reports

• Familiarity with A/B and multivariate experiments

• Working knowledge of HTML, CSS, and JavaScript development and constraints

• Excellent writing skills

• Provide objective guidance without personal or political considerations.
• Pitching ideas for projects based on gaps in the market and technological advancements.
• Rolling out fixes and upgrades to software, as needed.
• Securing software to prevent security breaches and other vulnerabilities.
• Setting up a continuous build environment to speed up software development and deployment process.
• Architecting overall, comprehensive, and efficient practices.
• Guiding developers and operation teams in case of an issue.
• Monitoring, reviewing, and managing technical operations.

Requirements:

• Degree in Computer Science, Information Systems, or related field.
• Previous experience working on a 24x7 cloud or SaaS operation team.
• Spring Boot Java 8, Spring Core, Spring Boot, Spring MVC, Swagger, Tomcat 8, Maven, Jenkins, SVN, GIT, Postman/Newman, RESTful Services, Containers.
• Experience with infrastructure management and monitoring.
• Proven in developing, implementing, and providing solutions to the given problem in all Java technologies.
• Proficient in stitch-together end-to-end application starting from front-end web development, back-end development, middleware integration, and persisting data in no SQL or DBMS databases.
• Ability to work independently and as part of a team.

• Express their operations strategies and objectives to make sure that the company reaches its target and operates effectively.
• Assisting higher executives.
• Working directly with customers handling the documentations.