Engineering Manager- Backend

• Job Description 
  
  
  

• Skills Required For Android Developer:-

Typical day-to-day duties and in-demand skill sets for mobile application developers include:

• Must have Knowledge of object-oriented programming languages such as Java, C and C++.
• Good knowledge of Android SDK, different versions of Android, and how to deal with different screen.
• Having Good knowledge of Android Studio.
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies.
• Solid understanding of the full mobile development life cycle.
• Work on bug fixing and improving application performance.
• Candidate should be self motivated.
• Self Confident and Enthusiastic.

Selection Process:-

1. Firstround of Interview – MCQ Written test (based on Syllabus & basic Aptitude) – 1 
2. Secondround of Interview – HR and Technical 
3. Thirdround of interview – Practical interview based on candidates interested 

Remuneration and terms:-

1. Company provides joining letter and agreement with terms here at time of joining of Candidate.
2. Incrementwill be given after one year of job 
3. Companyprovide 12 paid leaves per 
4. Working days –Monday to Saturday.
5. Timing– 

Monday-Friday : 9:30 AMto 6:30 PM, 45 minutes launch, 15Min Tea break

Saturday: 9:30 AMto 1:30 PM

Alternative Saturday Activity.

HR Manager

Bhoomi Vaghani

Beetonz Infotech

Website:- http://beetonz.com

Position Overview:

• Job Title: Functional Analyst - AMEA ERP COE
• Location: Bangalore, India
• Reporting To: Domain Manager - Procurement & Manufacturing AMEA ERP COE

Experience & Education:

• Total Experience: 6–8 years in SAP MM (ECC or S/4HANA)
• Education: Graduate (minimum 4 academic years)
• Domain Experience: 3+ years in Purchasing/Manufacturing preferred
• Implementation: 3 full-cycle MM implementations; S/4HANA exposure (Advanced STO, Embedded WM)

Implementation & Functional Skills:

• Enterprise Structure Mapping: Plants, Storage Locations, Purchasing Orgs
• P2P Processes: Subcontracting, Third-party procurement, Release strategies, Inventory management, Pricing and Account determination etc.
• Cross-Border (export/ import) & Intercompany Scenarios
• Interfaces: IDOCs, ALE
• ABAP Basics: Debugging knowledge

Work Culture & Responsibilities:

• Independence: Handle MM/WM projects and support calls autonomously
• Cultural Sensitivity: Support countries across Asia, Middle East, and Africa

Key Responsibilities:

• Conduct workshops and gather MM / WM operation requirements
• Deliver SAP solutions (Blueprints, Functional Specs, Testing, Training)
• Manage data migrations
• Ensure audit compliance
• Delivery enhancements and changes within timelines

Value Additions:

• Innovate MM/WM functionalities beyond the template
• Participate in ABB initiatives (CSI, Cost Saving, AppRun, etc.)

Requirements:

• 7+ years in enterprise application development
• Proven track record of delivering complex digital solutions
• Advanced knowledge of React hooks, context API, and component and global state management
• Experience with atomic design, component libraries, and TypeScript
• Proficiency in React performance optimization and modern features
• Strong experience with modern .NET (6+)
• Proven track record applying Clean Architecture & Clean Code & SOLID principles & DDD patterns
• Expertise in building scalable REST APIs and microservices
• Experience with Azure Service Bus, Event Grid, and message-based architectures
• Proficiency in resources like App Insights, Function Apps, Key Vaults, and App Services
• Expertise in cloud development and deployment strategies
• Strong understanding of business needs, ability to meet them by creating cutting-edge solutions
• Brilliant communication abilities, knowing how to explain technical details and processes to a non-tech person
• Fluency in English

Nice to have:

• Test automation (Playwright/Cypress)
• Building CI/CD pipelines in Azure DevOps
• API-first development and OpenAPI specifications
• Experience with agile at scale (SAFe/Spotify)
• Proficiency with AI-powered development tools (GitHub Copilot, Cursor, etc.) to enhance productivity
• Bachelor's or Master's degree in Computer Science or a related field

 Responsibilities:

• Front-end, API, and back-end development, ensuring the successful delivery of digital solutions
• Drive innovation by staying informed about emerging technologies, industry trends, and best practices
• Collaborate with the Product Manager, UX/UI Designers, and Engineering Manager to define agile technical requirements, provide technical estimation, and prioritize backlogs based on business needs and technical feasibility
• Participate in sprint planning, backlog grooming, and release planning meetings to ensure alignment between technical implementation and product roadmap
• Participate in hands-on development activities, including coding, debugging, and troubleshooting, to deliver high-quality applications
• Design, architecture, development of digital applications, ensuring adherence to best practices, coding standards, and architectural principles
• Design scalable architectures for multi-region deployment
• Implement test automation strategies and frameworks to automate testing processes and ensure the quality and reliability of applications
• Automate test cases and integrate testing into the CI/CD pipeline
• Conduct code reviews to ensure adherence to coding standards, best practices, and architectural guidelines
• Define and implement code best practices, development standards, and documentation processes to maintain code quality and readability
• Integrate digital applications with existing digital assets, backend systems, and third-party APIs, ensuring seamless data exchange and interoperability
• Collaborate with integration teams to design and implement integration solutions that meet business requirements and architectural standards
• Communicate technical concepts and solutions to non-technical stakeholders in a clear and understandable manner

• Proficiency in shell scripting
• Proficiency in automation of tasks
• Proficiency in Pyspark/Python
• Proficiency in writing and understanding of sqoop
• Understanding of CloudEra manager
• Good understanding of RDBMS
• Good understanding of Excel

Job Responsibilities:

* Design, build, and maintain efficient, reusable, and reliable Java code

* Ensure the best possible performance, quality, and responsiveness of the applications

* Identify bottlenecks and bugs, and devise solutions to these problems

* Help maintain code quality, organization, and automatization

* Prepare the technical design of complex technology components

Mandatory Skills:

* Proficient in Java (JDK 1.7) or above JDK 8 preferable, with a good knowledge of its ecosystems with a knack for writing clean, readable Java code, writing reusable Java libraries along with knowledge of concurrency patterns in Java

* Solid understanding of object-oriented programming along with various design and architectural patterns

* Hands on experience with Spring, Spring Boot, JUnit

* Familiarity with concepts of MVC, Microservices, RESTful

Basic Qualification: 

• Programming experience with at least one modern language such as Java, Node.js  
• Experience with NoSQL databases like MongoDB 
• 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. 
• Bachelor Degree in Computer Science or related field. 
• Computer Science fundamentals in object-oriented design, data structures, 
• algorithm design, problem solving, and complexity analysis. 

Preferred Qualification: 

• Experience building complex applications on distributed systems that have been successfully deployed for a large customer base. 
• Experience with Agile Scrum, having served as a Scrum Master and delivered results. 
• Application of advanced coding techniques, such as dependency injection. 
• Proven experience with: writing design documents, leading code reviews, 
• applying SCM, managing builds and managing releases. 
• Knowledge of important design patterns 
• Applying unit testing / TDD to reduce testing cycles and production support 
• load. 

• Setting KPIs, monitoring key trends, and helping stakeholders by generating insights from the data delivered.
• Understanding user behaviour and performing root-cause analysis of changes in data trends across different verticals.
• Get answers to business questions, identify areas of improvement, and identify opportunities for growth.
• Work on ad-hoc requests for data and analysis.
• Work with Cross functional Teams as when required to automate reports and create informative dashboards based on problem statements.

• 1-2 years of experience working in Analytics as a Business or Data Analyst.
• Analytical mind with a problem-solving aptitude.
• Familiarity with Microsoft Azure & AWS PySpark, Python, Data Bricks, Metabase, Understanding of APIs, data warehouse and ETL etc.
• Proficient in writing Complex Queries in SQL.
• Experience in Performing hands-on analysis on data and across multiple datasets and databases primarily using Excel, Google Sheets and R.
• Ability to work across cross-functional teams proactively.

Title: Data Engineer (Azure) (Location: Gurgaon/Hyderabad)

Salary: Competitive as per Industry Standard

We are expanding our Data Engineering Team and hiring passionate professionals with extensive

knowledge and experience in building and managing large enterprise data and analytics platforms. We

are looking for creative individuals with strong programming skills, who can understand complex

business and architectural problems and develop solutions. The individual will work closely with the rest

of our data engineering and data science team in implementing and managing Scalable Smart Data

Lakes, Data Ingestion Platforms, Machine Learning and NLP based Analytics Platforms, Hyper-Scale

Processing Clusters, Data Mining and Search Engines.

What You’ll Need:

• 3+ years of industry experience in creating and managing end-to-end Data Solutions, Optimal

Data Processing Pipelines and Architecture dealing with large volume, big data sets of varied

data types.

• Proficiency in Python, Linux and shell scripting.
• Strong knowledge of working with PySpark dataframes, Pandas dataframes for writing efficient pre-processing and other data manipulation tasks.
  ● Strong experience in developing the infrastructure required for data ingestion, optimal

extraction, transformation, and loading of data from a wide variety of data sources using tools like Azure Data Factory,  Azure Databricks (or Jupyter notebooks/ Google Colab) (or other similiar tools).

• Working knowledge of github or other version control tools.
• Experience with creating Restful web services and API platforms.
• Work with data science and infrastructure team members to implement practical machine

learning solutions and pipelines in production.

• Experience with cloud providers like Azure/AWS/GCP.
• Experience with SQL and NoSQL databases. MySQL/ Azure Cosmosdb / Hbase/MongoDB/ Elasticsearch etc.
• Experience with stream-processing systems: Spark-Streaming, Kafka etc and working experience with event driven architectures.
• Strong analytic skills related to working with unstructured datasets.

Good to have (to filter or prioritize candidates)

• Experience with testing libraries such as pytest for writing unit-tests for the developed code.
• Knowledge of Machine Learning algorithms and libraries would be good to have,

implementation experience would be an added advantage.

• Knowledge and experience of Datalake, Dockers and Kubernetes would be good to have.
• Knowledge of Azure functions , Elastic search etc will be good to have.

• Having experience with model versioning (mlflow) and data versioning will be beneficial
• Having experience with microservices libraries or with python libraries such as flask for hosting ml services and models would be great.

What you need to have: