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Role and Responsibilities
The candidate for the role will be responsible for enabling single view for the data from multiple sources.
- Work on creating data pipelines to graph database from data lake
- Design graph database
- Write Graph Database queries for front end team to use for visualization
- Enable machine learning algorithms on graph databases
- Guide and enable junior team members
Qualifications and Education Requirements
B.Tech with 2-7 years of experience
Preferred Skills
Must Have
Hands-on exposure to Graph Databases like Neo4J, Janus etc..
- Hands-on exposure to programming and scripting language like Python and PySpark
- Knowledge of working on cloud platforms like GCP, AWS etc.
- Knowledge of Graph Query languages like CQL, Gremlin etc.
- Knowledge and experience of Machine Learning
Good to Have
- Knowledge of working on Hadoop environment
- Knowledge of graph algorithms
- Ability to work on tight deadlines
Role: DevOps Engineer
Exp: 4 - 7 Years
CTC: up to 28 LPA
Key Responsibilities
• Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)
• Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)
• Develop and maintain CI/CD pipelines for multiple services and environments
• Manage infrastructure as code using tools like Terraform and/or Pulumi
• Automate operations with Python and shell scripting for deployment, monitoring, and maintenance
• Ensure high availability and performance of production systems and troubleshoot incidents effectively
• Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.
• Collaborate with development, security, and product teams to align infrastructure with business needs
• Apply best practices in cloud networking, Linux administration, and configuration management
• Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)
• Participate in on-call rotations and incident response activities
- 3+ years of experience in the Development in JAVA technology.
- AWS or cloud Experience
- Strong Java Basics
- SpringBoot or Spring MVC
- Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
- Proficient in REST API development
- Messaging Queue (RabitMQ or Kafka)
- Microservices
- Any Caching Mechanism
- Good at problem-solving
Good to Have Skills:
- 3+ years of experience in using Java/J2EE tech stacks
- Good understanding of data structures and algorithms.
- Excellent analytical and problem solving skills.
- Ability to work in a fast paced internet start-up environment.
- Experience in technical mentorship/coaching is highly desirable.
- Understanding of AI/ML algorithms is a plus.
● You have good understanding of the fundamentals of data science/algorithms or
software engineering
● Preferably you should have done some project or internship related to the field
● Knowledge of SQL is a plus
● A deep desire to learn new things and be a part of a vibrant start-up. You will
have a lot of freehand and this comes with immense responsibility - so it is
expected that you will be willing to master new things that come along!
What you will get to do?
● Build cloud-based services and/or user interfaces
● Participating in all aspects of software development activities, including design,
coding, code review, unit testing, bug fixing, and code/API documentation
● Be the first few members of a growing technology team
- 3+ years of experience in the Development in JAVA technology.
- AWS or cloud Experience
- Strong Java Basics
- SpringBoot or Spring MVC
- Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
- Proficient in REST API development
- Messaging Queue (RabitMQ or Kafka)
- Microservices
- Any Caching Mechanism
- Good at problem-solving
Good to Have Skills:
- 3+ years of experience in using Java/J2EE tech stacks
- Good understanding of data structures and algorithms.
- Excellent analytical and problem solving skills.
- Ability to work in a fast paced internet start-up environment.
- Experience in technical mentorship/coaching is highly desirable.
- Understanding of AI/ML algorithms is a plus.
Key Responsibilities:
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 2.5 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large-scale social or location-based app.
•Hands on experience in Object oriented programming
•Hands on experience in Java, SpringBoot (min 2 years) or kafka or Cassandra or MongoDB
•Experience with developing/enhancing applications connecting to different Databases : Oracle/MySQL/Cassandra/MongoDB
•Strong knowledge of common Data structures and algorithms and when to use them.
•Experience in Xpath or XML or REST or JSON or protobuff
• Experience with software version control (such as git)
•Experience in working in an agile environment such as Scrum.
Preferable:
•Experience in public cloud PaaS (AWS, GCP, Azure)
•Real time stream data handling (Kafka, Kinesis
Who We are
At e6data (https://e6x.io/">https://e6data.io) we’re building core algorithms that makes querying 25 - 200X more performant (i.e. faster and/or cheaper) than every other analytics platform in the world. This results in billions of dollars of value unlocked across faster analytics, savings on compute / infra, and new use cases becoming possible.
Our core team has 100+ years of combined experience and 10+ patents across diverse but complementary disciplines like real time databases, time series databases, SQL OLAP engines, distributed computing platforms, stream processing, and log analytics. Two of the founding team are second time founders with past exits.
We are passionate about solving the deepest and most important problems in computer science, and believe in making our technology available to customers regardless of their location, size, or budget. Our vision is for e6data to power every analytical workload in the world - regardless of deployment scenario (cloud, on-premise, edge), across every use case (end user queries, ETL / data pipelines), and every latency requirement (batch, streaming / real time).
What you'll do?
- Write awesome code
- The focus will be on performance of our data platform
- Identify tactical and long-term product improvements (could be code, script, etc.)
- Responsible for Planning and executing Metadata and Governance tool supports
- Build our internal Data Platform using exdata
- Adding scalable functionality to the system for new features like UDF's, sql functions etc
What are we looking for?
- Worked with Python for a minimum of 2 years
- Well versed with Django REST framework
- Knowledge of document based data stores like MongoDB
- Strong team player
- A passion for continuous learning and growth (both at a personal and team level)
- Experience (or enjoys) working in a startup will be an added advantage
*Performs analysis of functional and business requirements
*Applies in-depth or broad technical knowledge to maintain data engineering functions performs solution design.
*Applies the company, open source, and 3rd party technologies to highly complex infrastructure and software solutions.
*Introduce new product features and enhance the platform
*Ability to translate business reporting requirements into a production report.




