11+ DLL Jobs in Bangalore (Bengaluru) | DLL Job openings in Bangalore (Bengaluru)

Job Description

We are seeking a skilled Microsoft Dynamics 365 Developer with 4–7 years of hands-on experience in designing, customizing, and developing solutions within the Dynamics 365 ecosystem. The ideal candidate should have strong technical expertise, solid understanding of CRM concepts, and experience integrating Dynamics 365 with external systems.

Key Responsibilities

• Design, develop, and customize solutions within Microsoft Dynamics 365 CE.
• Work on entity schema, relationships, form customizations, and business logic components.
• Develop custom plugins, workflow activities, and automation.
• Build and enhance integrations using APIs, Postman, and related tools.
• Implement and maintain security models across roles, privileges, and access levels.
• Troubleshoot issues, optimize performance, and support deployments.
• Collaborate with cross-functional teams and communicate effectively with stakeholders.
• Participate in version control practices using GIT.

Must-Have Skills

Core Dynamics 365 Skills

• Dynamics Concepts (Schema, Relationships, Form Customization): Advanced
• Plugin Development: Advanced (writing and optimizing plugins, calling actions, updating related entities)
• Actions & Custom Workflows: Intermediate
• Security Model: Intermediate
• Integrations: Intermediate (API handling, Postman, error handling, authorization & authentication, DLL merging)

Coding & Versioning

• C# Coding Skills: Intermediate (Able to write logic using if-else, switch, loops, error handling)
• GIT: Basic

Communication

• Communication Skills: Intermediate (Ability to clearly explain technical concepts and work with business users)

Good-to-Have Skills (Any 3 or More)

Azure & Monitoring

• Azure Functions: Basic (development, debugging, deployment)
• Azure Application Insights: Intermediate (querying logs, pushing logs)

Reporting & Data

• Power BI: Basic (building basic reports)
• Data Migration: Basic (data import with lookups, awareness of migration tools)

Power Platform

• Canvas Apps: Basic (building basic apps using Power Automate connector)
• Power Automate: Intermediate (flows & automation)
• PCF (PowerApps Component Framework): Basic

Skills: Microsoft Dynamics, Javascript, Plugins

Must-Haves

Microsoft Dynamics 365 (4-7 years), Plugin Development (Advanced), C# (Intermediate), Integrations (Intermediate), GIT (Basic)

Core Dynamics 365 Skills

Dynamics Concepts (Schema, Relationships, Form Customization): Advanced

Plugin Development: Advanced (writing and optimizing plugins, calling actions, updating related entities)

Actions & Custom Workflows: Intermediate

Security Model: Intermediate

Integrations: Intermediate

(API handling, Postman, error handling, authorization & authentication, DLL merging)

Coding & Versioning

C# Coding Skills: Intermediate

(Able to write logic using if-else, switch, loops, error handling)

GIT: Basic

Notice period - Immediate to 15 days

Locations: Bangalore only

(Ability to clearly explain technical concepts and work with business users)

Nice to Haves

(Any 3 or More)

Azure & Monitoring

Azure Functions: Basic (development, debugging, deployment)

Azure Application Insights: Intermediate (querying logs, pushing logs)

Reporting & Data

Power BI: Basic (building basic reports)

Data Migration: Basic

(data import with lookups, awareness of migration tools)

Power Platform

Canvas Apps: Basic (building basic apps using Power Automate connector)

Power Automate: Intermediate (flows & automation)

PCF (PowerApps Component Framework): Basic

Key Responsibilities

● Design & Development

○ Architect and implement data ingestion pipelines using Microsoft Fabric Data Factory (Dataflows) and OneLake sources

○ Build and optimize Lakehouse and Warehouse solutions leveraging Delta Lake, Spark Notebooks, and SQL Endpoints

○ Define and enforce Medallion (Bronze–Silver–Gold) architecture patterns for raw, enriched, and curated datasets

● Data Modeling & Transformation

○ Develop scalable transformation logic in Spark (PySpark/Scala) and Fabric SQL to support reporting and analytics

○ Implement slowly changing dimensions (SCD Type 2), change-data-capture (CDC) feeds, and time-windowed aggregations

● Performance Tuning & Optimization

○ Monitor and optimize data pipelines for throughput, cost efficiency, and reliability

○ Apply partitioning, indexing, caching, and parallelism best practices in Fabric Lakehouses and Warehouse compute

● Data Quality & Governance

○ Integrate Microsoft Purview for metadata cataloging, lineage tracking, and data discovery

○ Develop automated quality checks, anomaly detection rules, and alerts for data reliability

● CI/CD & Automation

○ Implement infrastructure-as-code (ARM templates or Terraform) for Fabric workspaces, pipelines, and artifacts

○ Set up Git-based version control, CI/CD pipelines (e.g. Azure DevOps) for seamless deployment across environments

● Collaboration & Support

○ Partner with data scientists, BI developers, and business analysts to understand requirements and deliver data solutions

○ Provide production support, troubleshoot pipeline failures, and drive root-cause analysis

Required Qualifications

● 5+ years of professional experience in data engineering roles, with at least 1 year working hands-on in Microsoft Fabric

● Strong proficiency in:

○ Languages: SQL (T-SQL), Python, and/or Scala

○ Fabric Components: Data Factory Dataflows, OneLake, Spark Notebooks, Lakehouse, Warehouse

○ Data Storage: Delta Lake, Parquet, CSV, JSON formats

● Deep understanding of data modeling principles (star schemas, snowflake schemas, normalized vs. denormalized)

● Experience with CI/CD and infrastructure-as-code for data platforms (ARM templates, Terraform, Git)

● Familiarity with data governance tools, especially Microsoft Purview

● Excellent problem-solving skills and ability to communicate complex technical concepts clearly

NOTE: Candidate should be willing to take one technical round F2F from any of the branch location. (Pune/ Mumbai/ Bangalore)

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

Job Summary:

We are looking for an experienced Digital Marketing Manager to plan, execute, and optimize

online marketing campaigns for our real estate projects. The candidate should have hands-on

expertise in lead generation, paid ads, SEO, and social media marketing with proven results in

the real estate sector.

Key Responsibilities:

Develop and implement digital marketing strategies to generate high-quality leads.

Manage Google Ads, Facebook Ads, and other paid campaigns.

Optimize campaigns to achieve maximum ROI and lower CPL.

Plan and execute SEO, SEM, and social media marketing activities.

Analyze campaign performance and prepare regular reports.

Coordinate with sales teams to align marketing campaigns with project goals.

Stay updated with digital trends and competitor activities.

Roles & Responsibilities:

• 6+ Yrs. of development experience on Scala, Elastic Search and Mongo DB

• Should have experience of working on Responsive and high availability web platforms

• Knowledge on some of the key tech stack like Elastic Search, MongoDB, Play framework, Akka Framework and Java is a must.

• Deep insight into Rest API development • Should be up to date with industry best practices for API development using Scala

• Good team handling skills

• Good development and logical skills • Hands-on experience + Guiding Junior Scala Developers

• Good analytical skills

• Able to learn new technologies on the fly based on requirement

• Able to help the team members as and when needed to improve team capability 

Experience:

• Very strong hands on experience of web and mobile technologies: - HTML JavaScript,  HTML5/CSS3,OOJS.

• 5 + years of UI Development Experience using JavaScript Frameworks

• 3+ years of Angular Development Experience

• Strong in OOJS(Mandatory)

• Has implemented coding patterns and built UI framework

• Deep knowledge of AngularJS practices and commonly used modules based on extensive work experience

• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system

• Creating custom, general use modules and components which extend the elements and modules of core AngularJS

• Creating configuration, build, and test scripts for Continuous Integration environments

• Cooperating with the back-end developer in the process of building the RESTful API

JOB PURPOSE

-------------

• Develop .NET Core applications using React JS reusable components as per need / client specifications
• This is a hands-on role which involves writing code, testing, and deploying finished web applications and libraries

MAJOR ACCOUNTABILITY

----------------------

• Design, rapid prototype, and implement a scalable, reliable and maintainable node based web application
• Enforce code quality through test driven development
• Enhance, refactor, and continuously improve the existing codebase
• Collaborate closely with team to define product requirements
• Aggressively collect, analyse, and act on data about product performance
• Communicate effectively with technical and non-technical people
• Proactive in keeping your skills updated

ESSENTIAL SKILLS & EXPERIENCE

-------------------------------

• Excellent working knowledge of .NET Core, React JS, JavaScript.
• 4-6 year's overall .NET development experience (At least 2 years of experience in React JS)
• Experience in working with databases - SQL and Non-SQL Databases
• Experience in any visualization JS libraries like D3 JS / Charts JS / Sync Fusion / Fusion Charts will be an added advantage.
• GraphQL
• Hooks 
• Redux / Flux 
• TypeScript 

EDUCATION

-----------

• Minimum education: Any Graduate BE / B.Tech would be desirable
• Languages: Excellent English written & spoken

JD Code: SHI-LDE-01 

Version#: 1.0 

Date of JD Creation: 27-March-2023 

Position Title: Lead Data Engineer 

Reporting to: Technical Director 

Location: Bangalore Urban, India (on-site) 

SmartHub.ai (www.smarthub.ai) is a fast-growing Startup headquartered in Palo Alto, CA, and with offices in Seattle and Bangalore. We operate at the intersection of AI, IoT & Edge Computing. With strategic investments from leaders in infrastructure & data management, SmartHub.ai is redefining the Edge IoT space. Our “Software Defined Edge” products help enterprises rapidly accelerate their Edge Infrastructure Management & Intelligence. We empower enterprises to leverage their Edge environment to increase revenue, efficiency of operations, manage safety and digital risks by using Edge and AI technologies. 

SmartHub is an equal opportunity employer and will always be committed to nurture a workplace culture that supports, inspires and respects all individuals, encourages employees to bring their best selves to work, laugh and share. We seek builders who hail from a variety of backgrounds, perspectives and skills to join our team.  

Summary 

This role requires the candidate to translate business and product requirements to build, maintain, optimize data systems which can be relational or non-relational in nature. The candidate is expected to tune and analyse the data including from a short and long-term trend analysis and reporting, AI/ML uses cases. 

We are looking for a talented technical professional with at least 8 years of proven experience in owning, architecting, designing, operating and optimising databases that are used for large scale analytics and reports. 

Responsibilities 

• Provide technical & architectural leadership for the next generation of product development. 
• Innovate, Research & Evaluate new technologies and tools for a quality output. 
• Architect, Design and Implement ensuring scalability, performance and security. 
• Code and implement new algorithms to solve complex problems. 
• Analyze complex data, develop, optimize and transform large data sets both structured and unstructured. 
• Ability to deploy and administrator the database and continuously tuning for performance especially container orchestration stacks such as Kubernetes  
• Develop analytical models and solutions Mentor Junior members technically in Architecture, Designing and robust Coding. 
• Work in an Agile development environment while continuously evaluating and improvising engineering processes 

Required 

• At least 8 years of experience with significant depth in designing and building scalable distributed database systems for enterprise class products, experience of working in product development companies. 
• Should have been feature/component lead for several complex features involving large datasets. 
• Strong background in relational and non-relational database like Postgres, MongoDB, Hadoop etl. 
• Deep exp database optimization, tuning ertise in SQL, Time Series Databases, Apache Drill, HDFS, Spark are good to have 
• Excellent analytical and problem-solving skill sets. 
• Experience in  for high throughput is highly desirable 
• Exposure to database provisioning in Kubernetes/non-Kubernetes environments, configuration and tuning in a highly available mode. 
• Demonstrated ability to provide technical leadership and mentoring to the team 

Job Role- 1 year contract( either extendable or permanent one) 
Location- Gurgaon/ Bangalore
Experiece- 10+ years

Job Description -

1. Ability to translate requirements into design specifications and experience in developing design documents

2. End to end Non it Recruitment

3. Identifying , suggesting small changes in system to improve monitoring or improvement needs..

4. Should have Strong analytical and logical abilities.

5. Handling Volume/lateral Recruitments for one or more Service lines.

6. Source potential .candidates on various positions in NON-IT industry.

7. Perform pre-screening calls to analyze applicants’ abilities.

8. Interview candidates combining various methods (e.g. structured interviews, technical assessments and behavioral questions.

9. Should have target chasing attitude
   10. Corporate HR  experience( worked in Corporate world) etc.

Required Skill Set -

• Excellent communication skills

• Post graduate/Graduate both can apply

• Min 8 years experience can be looked i

• open to work both from home and office as required 

• Should have strong knowledge on end to end recruitment.

• Should have strong knowledge on various sourcing strategies

• Know networking online and offline with potential candidates to promote the employer brand, reduce time-to-hire and ensure we attract the best professionals.

• Build a strong talent pipeline.
  Salary Budget is 8 to 22 LPA.