Senior backend Developer

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Job Description

• Java engineer with 6-8 years of experience , person with strong Java, spring core, Springboot, Rest API , Microservices hands-on experience.
• Knowing Kafka is a plus.
• Well versed with CICD, Agile processes . good attitude, good communication skills.

Role

• Code development, testing, team coordination,
• Open to work on non-tech activities along with coding also.
• Should be ready and flexible to work from Impetus office and customer office as per the requirement of project.

Job description

JD - Java Developer (Backend Developer)

Technical Requirement:

• At least 5 years of experience in Java, J2EE technologies.
• Expertise in doing development using Java, Spring Boot, Spring modules (Spring Security, Spring MVC, Spring Data JPA, etc.), Hibernate, Web Services
• Worked on REST web services.
• Worked on application server : Tomcat
• Worked on Eclipse IDE
• Knowledge of Swagger, Postman
• Worked on Database like MySQL
• Worked on Git, Maven, CI/CD pipelines
• Good to have knowledge of using Docker and Mongo DB

Overall Roles & responsibilities:

• Consult with client team to understand business requirements and with solution architects / team lead to understand the application architecture.
• Develop/code applications following specifications using the appropriate tools and adhering to the standard coding standards.
• Coordinate unit testing, integration testing and bug fixing with the development and quality assurance team.
• Plan for defect fixes as per priority and severity mentioned by QA team.
• J Attend daily scrum meeting with entire team and client.

Job Description

·       Strong Core Java / C++ experience with Strong Handson Coding

·       Excellent understanding of Logical ,Object-oriented design patterns, algorithms and data structures.

·       Sound knowledge of application access methods including authentication mechanisms, API quota limits, as well as different endpoint REST, Java etc

·       Strong exp in databases - not just a SQL Programmer but with knowledge of DB internals

·       Sound knowledge of Cloud database available as service is plus (RDS, CloudSQL, Google BigQuery, Snowflake )

·       Experience working in any cloud environment and microservices based architecture utilizing GCP, Kubernetes, Docker, CircleCI, Azure or similar technologies

Are you looking for a Senior Backend Engineer role in a high growth startup? Are you eager to learn and make a difference at work every day? If so, then read on.

At PlumQR, we work on revolutionizing the Food & Beverage industry with our cloud-based tech products. Millions of businesses across the world are switching for better, smarter & more hygienic products to reinvent their businesses. If you have what it takes to innovate & lead, we have just the right opportunity for you.

Requirements

• Minimum 3 years as a Senior Backend Engineer
• Strong software development experience in a SaaS product company
• Significant experience with NodeJS, React.js, React Native, MySQL, MongoDB, Java
• Cloud computing services (e.g. Google Cloud Platform)
• Strong problem-solving skills
• Ability to explain technical details to people inside the company

Be Part Of Building The Future

Dremio is the Data Lake Engine company. Our mission is to reshape the world of analytics to deliver on the promise of data with a fundamentally new architecture, purpose-built for the exploding trend towards cloud data lake storage such as AWS S3 and Microsoft ADLS. We dramatically reduce and even eliminate the need for the complex and expensive workarounds that have been in use for decades, such as data warehouses (whether on-premise or cloud-native), structural data prep, ETL, cubes, and extracts. We do this by enabling lightning-fast queries directly against data lake storage, combined with full self-service for data users and full governance and control for IT. The results for enterprises are extremely compelling: 100X faster time to insight; 10X greater efficiency; zero data copies; and game-changing simplicity. And equally compelling is the market opportunity for Dremio, as we are well on our way to disrupting a $25BN+ market.

About the Role

The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for innovative minds with experience in leading and building high quality distributed systems at massive scale and solving complex problems.

Responsibilities & ownership

• Lead, build, deliver and ensure customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product.
• Work on distributed systems for data processing with efficient protocols and communication, locking and consensus, schedulers, resource management, low latency access to distributed storage, auto scaling, and self healing.
• Understand and reason about concurrency and parallelization to deliver scalability and performance in a multithreaded and distributed environment.
• Lead the team to solve complex and unknown problems 
• Solve technical problems and customer issues with technical expertise
• Design and deliver architectures that run optimally on public clouds like  GCP, AWS, and Azure
• Mentor other team members for high quality and design 
• Collaborate with Product Management to deliver on customer requirements and innovation
• Collaborate with Support and field teams to ensure that customers are successful with Dremio

Requirements

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• Fluency in Java/C++ with 8+ years of experience developing production-level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models, and their use in developing distributed and scalable systems
• 5+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Hands-on experience  in query processing or optimization, distributed systems, concurrency control, data replication, code generation, networking, and storage systems
• Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
• Passion for learning and delivering using latest technologies
• Ability to solve ambiguous, unexplored, and cross-team problems effectively
• Hands on experience of working projects on AWS, Azure, and Google Cloud Platform 
• Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure, and Google Cloud) 
• Understanding of distributed file systems such as  S3, ADLS, or HDFS
• Excellent communication skills and affinity for collaboration and teamwork
• Ability to work individually and collaboratively with other team members
• Ability to scope and plan solution for  big problems and mentors others on the same
• Interested and motivated to be part of a fast-moving startup with a fun and accomplished team

• Build data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing using Java / Python
• Design the Data stores for Big Data systems with expertise in Cassandra, HBase
• Implementation of Indexing and Search using Elasticsearch
• Setup and Deployment of Cassandra, Elasticsearch clusters

• Strong hands-on experience with Cassandra, data modeling, data replication, clustering, indexing for handling for large data sets
• Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics
• Strong understanding of CQL, Data Modeling in-order to achieve highly performant data access
• Strong experience in data modeling in Cassandra to design efficient storage model to meet variety of business needs
• Should have Elasticsearch skill with significant experience working with large Elasticsearch clusters, cluster performance optimisation, capacity planning, enhancing monitoring capabilities for early issue detection, driving operational readiness and ongoing maintenance
• Strong hands-on experience of programming with Java / Python
• Ability to troubleshoot and investigate stability, performance issues