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Looking for a fresher willing to learn and upgrade themselves on future trends.
Overview
We are looking for a highly skilled Lead Data Engineer with strong expertise in Data Warehousing & Analytics to join our team. The ideal candidate will have extensive experience in designing and managing data solutions, advanced SQL proficiency, and hands-on expertise in Python & POWER BI .
Skills : Python, Databricks, SQL
Key Responsibilities:
- Design, develop, and maintain scalable data warehouse solutions.
- Write and optimize complex SQL queries for data extraction, transformation, and reporting.
- Develop and automate data pipelines using Python.
- Work with AWS cloud services for data storage, processing, and analytics.
- Collaborate with cross-functional teams to provide data-driven insights and solutions.
- Ensure data integrity, security, and performance optimization.
Required Skills & Experience:
- Must have a minimum of 6-10 years of experience in Data Warehousing & Analytics.
- Must have strong experience in Databricks
- Strong proficiency in writing complex SQL queries with deep understanding of query optimization, stored procedures, and indexing.
- Hands-on experience with Python for data processing and automation.
- Experience working with AWS cloud services.
- Hands-on experience with reporting tools like Power BI or Tableau.
- Ability to work independently and collaborate with teams across different time zones.
Design, implement, and improve the analytics platform
Implement and simplify self-service data query and analysis capabilities of the BI platform
Develop and improve the current BI architecture, emphasizing data security, data quality
and timeliness, scalability, and extensibility
Deploy and use various big data technologies and run pilots to design low latency
data architectures at scale
Collaborate with business analysts, data scientists, product managers, software development engineers,
and other BI teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction,
forecasting, clustering, and machine learning algorithms
Educational
At Ganit we are building an elite team, ergo we are seeking candidates who possess the
following backgrounds:
7+ years relevant experience
Expert level skills writing and optimizing complex SQL
Knowledge of data warehousing concepts
Experience in data mining, profiling, and analysis
Experience with complex data modelling, ETL design, and using large databases
in a business environment
Proficiency with Linux command line and systems administration
Experience with languages like Python/Java/Scala
Experience with Big Data technologies such as Hive/Spark
Proven ability to develop unconventional solutions, sees opportunities to
innovate and leads the way
Good experience of working in cloud platforms like AWS, GCP & Azure. Having worked on
projects involving creation of data lake or data warehouse
Excellent verbal and written communication.
Proven interpersonal skills and ability to convey key insights from complex analyses in
summarized business terms. Ability to effectively communicate with multiple teams
Good to have
AWS/GCP/Azure Data Engineer Certification
Job Title: AWS DevOps Engineer
Experience Level: 5+ Years
Location: Bangalore, Pune, Hyderabad, Chennai and Gurgaon
Summary:
We are looking for a hands-on Platform Engineer with strong execution skills to provision and manage cloud infrastructure. The ideal candidate will have experience with Linux, AWS services, Kubernetes, and Terraform, and should be capable of troubleshooting complex issues in cloud and container environments.
Key Responsibilities:
- Provision AWS infrastructure using Terraform (IaC).
- Manage and troubleshoot Kubernetes clusters (EKS/ECS).
- Work with core AWS services: VPC, EC2, S3, RDS, Lambda, ALB, WAF, and CloudFront.
- Support CI/CD pipelines using Jenkins and GitHub.
- Collaborate with teams to resolve infrastructure and deployment issues.
- Maintain documentation of infrastructure and operational procedures.
Required Skills:
- 3+ years of hands-on experience in AWS infrastructure provisioning using Terraform.
- Strong Linux administration and troubleshooting skills.
- Experience managing Kubernetes clusters.
- Basic experience with CI/CD tools like Jenkins and GitHub.
- Good communication skills and a positive, team-oriented attitude.
Preferred:
- AWS Certification (e.g., Solutions Architect, DevOps Engineer).
- Exposure to Agile and DevOps practices.
- Experience with monitoring and logging tools.
We are looking for a passionate and experienced Java Developer with over 4 years of hands-on experience in building robust and scalable backend systems using Java, Spring Boot, and Microservices architecture.
Key Responsibilities:
- Design, develop, test, and deploy high-performance, scalable, and secure backend services using Java 8+, Spring Boot, and Microservices.
- Participate in the entire software development lifecycle (SDLC), from requirements gathering to production deployment and support.
- Collaborate with frontend developers, DevOps engineers, and product owners to deliver end-to-end features.
- Optimize application performance and ensure high availability and responsiveness.
- Write clean, maintainable, and reusable code while following best practices (coding standards, unit testing, CI/CD, etc.).
- Develop RESTful APIs and ensure their quality and consistency.
- Handle integration with external systems and third-party services.
- Participate in code reviews, provide constructive feedback, and mentor junior developers.
Technical Skills Required:
- Languages: Java 8 or above
- Frameworks: Spring Boot, Spring MVC, Spring Security
- Architecture: Microservices architecture and design patterns
- Databases: MySQL/PostgreSQL, MongoDB (optional)
- Messaging: Kafka, RabbitMQ (optional)
- API Development: RESTful APIs, Swagger/OpenAPI
- Version Control: Git, GitHub/GitLab
- Tools: Maven/Gradle, Jenkins, Docker
- Testing: JUnit, Mockito
- Cloud (optional): AWS/Azure/GCP exposure
- CI/CD & DevOps tools (optional): Jenkins, Docker, Kubernetes
Nice to Have:
- Experience in containerization and orchestration (Docker, Kubernetes).
- Knowledge of API Gateway, Service Registry (e.g., Eureka), and Circuit Breakers (e.g., Hystrix or Resilience4j).
- Experience with Agile methodologies (Scrum/Kanban).
- Familiarity with monitoring and logging tools (ELK, Prometheus, Grafana, etc.).
Designation: SAP SD Consultant
Experience: 4-10 years
Location: Chennai, Coimbatore, Bhubaneswar
Job description
1. SAP SD(Sales and Distribution) - HANA Sales of S/4 HANA
2. O2C(Order To Cash ) business process expertise,
3. SAP SD Implementation/Support/Development project expertise.
4. Exposure to SAP SD configurations (O2C processes, Pricing Procedure, Revenue account determination, Credit Management, Rebate Processing, Batch Management, Consignment, Stock transport orders)
5. S/4 Migration/Implementation/AMS experience
6. SAP Activate, ITSM Tools, SAP Release Management, Agile Methodology- Bachelors in Computer Science, Information Systems or equivalent.
- 6 years experience delivering highly available web/mobile applications including 1-3 years as Senior/Lead developer.
- Prior experience in retail domain is a plus.
- 3 years of experience working with distributed teams.
- Deep knowledge of UI Libraries / Frameworks, API (REST), API Management and building scalable and high performance Web APIs.
- Must have experience building websites using Javascript and Java technologies (e.g. Typescript, Spring Boot etc.). Search Engine and Native App development experience is a plus.
- AWS Serverless Cloud native services experience with Lambda functions, SNS, SQS, DynamoDB, API Gateway etc.
- Strong knowledge of Caching frameworks, data structures, algorithms, operating systems, and distributed systems.
- Strong understanding of databases, NoSQL data stores, storage and distributed persistence technologies.
- Strong communication and presentation skills.
- Passionate about enabling next generation experiences.
- Experience with automated testing, deployment pipelines and cloud based infrastructure
Role Description:
- Develop omni-channel digital solutions leveraging serverless and micro services in a cloud based platform to develop backend services.
- Design high/low level solutions, contribute towards architecture and technical roadmap.
- Lead technical implementation/delivery.
- Host/Lead technical discussions.
- Champion software development best practices, test driven development, CI and CD.
- Build cloud native and highly cost efficient solutions.
- Innovate, Unlearn and Disrupt. Research next generation frameworks and technologies.
- Embrace change.
Software Development Engineer – SDE 2.
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.
Job Description
Required skills: SAP ABAP, SAP UI5, Fiori, Hana
Create development standards and checklists.
Supervising, problem solving, and coaching of team members
Liase with functional team and business users to define development requirements
Developing technical specifications for SAP custom report or interface or enhancement or form to solve complex business problems based on end user functional requirements
Developing programs that conform to the functional and technical specification
Planning and executing unit testing, string testing, and integration testing
Support all levels of testing, problem solving and bug fixing
Performance tuning of programs
Qualifications
4+ years of experience in SAP ABAP for Programming with SAP development tools
Experience in Dialog Programming Smart Forms SAP Script User Exits ABAP4 Dictionary Business ADD INS BADIS Data Interfaces RFC ALE ALV IDOCS BDC BAPI BDT LSMW
Experience in SQL Trace SAP Run time analysis Debugging ABAP Query Info Sets
Experience with report development performance tuning modification and support of SAP customized and standard programming
Good understanding and customization of SAP business processes in Sales Service and Financials
Good exposure on HANA
Good Knowledge on SAP Tables Fields Domains and on creating Search Helps
Professional Skill Requirements
Proven success in contributing to a team oriented environment
Able to work independently
Result oriented
Proven ability to work creatively and analytically in a problem solving environment
Excellent leadership communication written and oral and interpersonal skills
Strong sense of ownership and commitment
Able to manage multiple tasks and priorities
Good understating or hand's on in Kafka Admin / Apache Kafka Streaming.
Implementing, managing, and administering the overall hadoop infrastructure.
Takes care of the day-to-day running of Hadoop clusters
A hadoop administrator will have to work closely with the database team, network team, BI team, and application teams to make sure that all the big data applications are highly available and performing as expected.
If working with open source Apache Distribution, then hadoop admins have to manually setup all the configurations- Core-Site, HDFS-Site, YARN-Site and Map Red-Site. However, when working with popular hadoop distribution like Hortonworks, Cloudera or MapR the configuration files are setup on startup and the hadoop admin need not configure them manually.
Hadoop admin is responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the hadoop cluster.
Hadoop admin is also responsible for deciding the size of the hadoop cluster based on the data to be stored in HDFS.
Ensure that the hadoop cluster is up and running all the time.
Monitoring the cluster connectivity and performance.
Manage and review Hadoop log files.
Backup and recovery tasks
Resource and security management
Troubleshooting application errors and ensuring that they do not occur again.
Skill Set:
- Strong knowledge in SQL Server
- Program and develop SQL scripts, tables, views, stored procedures, functions, triggers & constraints.
- Scripting (PowerShell, shell scripting)
- Azure Database (Nice to have)
- Experience with backups, restores and recovery models.
- Familiarity with database design, documentation and coding.
Responsibilities:
- Configures and validates database backup routines on a regular basis.
- Establish a regular data retention plan.
- Optimizes database performance through the use of database performance tuning techniques and tools.
- Require extensive familiarity with data management principles and best practices in order to properly store, migrate, and structure data for multiple applications.





