Navision/Business Central Technical Consultant

Exp: 5 to 8 Years

Budget- 20 to 24LPA

Location: Mumbai, Andheri

Mandatory Criteria

• You are an MBA grad with 5+ years into your marketing career, with strong B2B experience.
• You are equally comfortable thinking and doing — you don’t just manage, you make things happen
• You think like a founder — practical, agile, and resourceful.
• You thrive in fast-paced, iterative environments.
• You are fascinated by what makes AI and Learning tick.
• You value output over optics — and clarity over jargon.

OKR

● Own the marketing calendar and deliver practical, sharp B2B campaigns that generate

sales meetings and conversations, not just clicks and impressions.

● Come up with breakthrough marketing initiatives that challenge “this is how it’s done”

thinking.

● Partner closely with the sales, product, and solutions team to move the sales pipeline.

● Drive execution across email, LinkedIn, events, and more with an outcome-driven

approach

● Leverage tools and AI platforms for the creation of marketing and sales collaterals across

various formats and mediums relevant to target customers

● Lead a sharp team, while staying deeply hands-on yourself.

If interested kindly share your updated resume at 82008 31681

Job Title: Manager - Retail Analyst and Communication (Apparel Retail)

Experience: 6-8 years in Retail Business Management Information System

Location: Gurgaon

Salary: Negotiable

Industry: Retail/ Apparel/ Fashion

This role is responsible for managing the end-to-end Retail Business Management Information System (MIS). It involves handling internal communication channels, ensuring adherence to reporting processes and implementing weekly actions based on data insights.

Key Deliverables (Essential functions & Responsibilities of the Job):

·        Own and manage all aspects of the MIS and data systems, including report and dashboard generation.

·        Coordinate with cross-functional teams for data collection, reporting, and timely store projects.

·        Lead monthly, quarterly, and annual target setting for sales and key retail performance metrics.

·        Monitor weekly, monthly, and seasonal performance, and circulate actionable insights and reports to stores and leadership.

·        Deliver weekly retail communications, ensuring clarity on actions required.

·        Support ad hoc data requirements with advanced Excel capabilities.

·        Work with tools like SAP, OneDrive, Tableau, Power BI, etc.

Key Skills Required:

·        Strong multitasking and time management skills.

·        Self-driven, organized, and goal-oriented.

·        Analytical mindset with the ability to convert data into actionable insights.

·        Proficiency in Microsoft Office Suite, particularly Excel; familiarity with data visualization tools preferred.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 97 43

website: www.glansolutions.com

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

·         Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

·         Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

·         Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

·         Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

·         Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

·         Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

·         Work closely with development teams to improve application reliability, scalability, and performance.

·         Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

·         Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

·         Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

·         7+ years of hands-on AWS DevOps experience, especially with middleware services.

·         Strong expertise in MongoDB Atlas or other cloud MongoDB services.

·         Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

·         Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

·         Excellent scripting skills in Python, Bash, or PowerShell.

·         Experience in containerization and orchestration: Docker, EKS, ECS.

·         Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

·         Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

·         Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

·         AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

·         MongoDB Certified DBA or Developer.

·         Experience with serverless services like AWS Lambda, Step Functions.

·         Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current ctc-

Email: etalenthire[at]gmail[dot]com

Satish; 88 O2 74 97 43

Data Engineering : Senior Engineer / Manager

As Senior Engineer/ Manager in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Must Have skills :

1. GCP

2. Spark streaming : Live data streaming experience is desired.

3. Any 1 coding language: Java/Pyhton /Scala

Skills & Experience :

- Overall experience of MINIMUM 5+ years with Minimum 4 years of relevant experience in Big Data technologies

- Hands-on experience with the Hadoop stack - HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

- Strong experience in at least of the programming language Java, Scala, Python. Java preferable

- Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.

- Well-versed and working knowledge with data platform related services on GCP

- Bachelor's degree and year of work experience of 6 to 12 years or any combination of education, training and/or experience that demonstrates the ability to perform the duties of the position

Your Impact :

- Data Ingestion, Integration and Transformation

- Data Storage and Computation Frameworks, Performance Optimizations

- Analytics & Visualizations

- Infrastructure & Cloud Computing

- Data Management Platforms

- Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

- Build functionality for data analytics, search and aggregation

Responsibilities:

• Writing clean and efficient codes for Android applications
• Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance.
• Collaborating with cross-functional teams to define and design new feature.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
• Ability to brainstorm and come up with solutions to open ended problems.
• Ability to take ownership and drive initiatives end to end.
• Desire to learn and dive deep into new technologies on the job.
• Solid understanding of CS fundamentals-Operating Systems, Databases and Data Structure.

Knowledge and Skills:

• Prior experience as an Android Developer using Java, Kotlin, Android SDK, Android NDK
• Proficient understanding of code versioning tools such as Git
• Familiarity with RESTful APIs to effectively integrate Android applications
• Solid understanding of the full mobile development life cycle.
• Passion for products and aspiration to make a big impact.
• Solid engineering principles and clear understanding of data structures and algorithms.
• Expertise in implementation of custom UI components along with fabulous animations and  write/understand Rest APIs
• Experience working with Google Maps, Social APIs, Geo-locations, Media permissions, SMS fetch, etc.
• Experience in memory management and in designing high- performance apps

Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification

Senior Analytics Consultant- Responsibilities

• Understand business problem and requirements by building domain knowledge and translate to data science problem
• Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
• Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
• Prototype and experiment the solution to successfully demonstrate the value
  Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines
• Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
• Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives

Product Manager

Who we are?

At Edge, we believe simplifying employee data will help large corporates solve sub-optimal talent management problems. This data is more critical after the pandemic, as managing a remote workforce has shifted from optional to essential.

We have spent our last eight years understanding the workforce from the IT and BFSI industries. We have used this employee data to create a sophisticated intelligence. This brain behind our AI-based products is called EdGE graph™. We have used 11 million job descriptions and more than 30 million profiles to build the graph.

Our products like Pathfinder, Recruit and Mobility are deployed in IT companies like Wipro, HCL, UST Global, etc. and help them upskill, invest, and maintain their existing people. It has helped organisations improve their workforce availability, billing, allocations and drive straight bottom-line impacts. The new order of talent decisions helps us define, identify, and plan for a future-ready workforce.

We build end-to-end talent management products for organisations so that they have a 360-degree view of their talent supply chain. This helps them make informed talent decisions efficiently and build an intelligent workforce.

We built Edge Networks in 2012 in an apartment in Bangalore and soon, were supported by the National Skill Development Corporation of India (NSDC). We are a part of the NASSCOM Product Council and have been recognized by Gartner, Deloitte, Equidam, NVIDIA, Amazon as an innovative tech HR startup in various titles.

At Edge, we understand that modern companies that put the employees at the center of their workings, backed with data, will make their organisation productive. This is how we, at Edge, use tech for good.

Role: Product Manager

Experienced Product Manager to own product lines in the B2B2C space and work in tandem with the other products that we have, all of which derive intelligence from the underlying AI/ML services as well as a SaaS ready platform that we have built. You will use data to guide your decisions and develop solutions to make analysis easier for teams. You will develop a hypothesis, conduct in depth user research, and experiments to inform your product design and strategies. You will establish your product viewpoints and share them with senior leaders, partners, and customers.

Traits that you have

A team player – I know we only win if we all win. I recognise and value the different perspectives and skills my squad mates bring. It is not about being a hero but jumping in and contributing to the successful delivery of our mission.

Data Driven – Build different metrics to evaluate the product performance.

An excellent communicator – I know and understand the importance of clear, on-time communication. My spoken and written communication skills stand out for clarity and conciseness.  

The customer’s biggest fan – I demonstrate a thirst for better understanding the customer and define the problem and develop solutions through their eyes as well as through the eyes of the Sales guys in the organization

 A collaboration champion – I work closely with my colleagues to ensure alignment and champion the    sharing of learning across teams.

Comfortable being uncomfortable – I am comfortable with uncertainty. I have the ability to effectively manage myself through ambiguity by making meaning, building relationships and creating clarity with my peers. I also have a willingness to unlearn where needed.

Continuous improvement focused– I constructively challenge the status quo, I look for better ways of doing things and passionately advocate continuous improvement, and I am able to re-pivot fast.

A problem solver – I am energised by tackling complex problems. I use my critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the product.

Commercially and Technologically curious – I have a wide-angle lens. I am curious about what is happening in the external market and in emerging trends and innovations (technological and otherwise) and how we use this information to better inform our decisions and actions.

Risk savvy – I build sustainable solutions that protect stakeholders and customers and proactively address risks by role-modelling improvements in the product’s overall risk and control environment.

Habitual Experimenter  – I learn by running experiments on a very frequent basis, with a framework to learn from these experiments and absorb the learnings into product management.

Responsibilities:

• Define the product roadmap and ensure its execution through cross-functional and cross-platform collaboration
• Work closely with horizontal product managers and align the product roadmap within the broader product framework.
• Closely monitor & analyze the product metrics and present related hypotheses to help make data-driven decisions.
• Work closely with engineering platforms to create data flow pipelines that aggregate the relevant data and present a holistic view of product performance.
• Work with the MIS & Reporting team to create relevant dashboards that provide transparency across the board

Role Skills:

• 2+ years in software product management, post MBA, with a consistent record of timely and quality delivery of products.
• Experience with Agile Project Management tools like JIRA.
• Familiarity with Wireframing tools like Adobe XD, Maze, so that the interactions with the UX Designer can be efficient
• High bias for action with demonstrable history of identifying and resolving cross-project interdependencies
• Ability to juggle several initiatives and shift priorities as needed
• Exceptional communication skills (verbal and written communication) with a knack for storytelling connecting the story to the underlying quant
• Data Driven with proficiency on data querying and analysis. Experience with tools like Analytics tools (i.e. Google Analytics ), SQL, Excel, Tableau, etc. is preferred.
• Experience in one or more of the following is a plus: SaaS, Marketing Automation, Data Analytics etc.
• MBA/equivalent courses from Tier -I institutes.