


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

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- Cloud Infrastructure: Manage our infrastructure on GCP and Firebase (Auth, Firestore, Storage, Functions, AppEngine, PubSub, Cloud Tasks).
- Database Management: Handle Firestore and other NoSQL DBs. Lead database schema design and migration strategies.
- Pipelines & Automation: Build robust real-time and batch data pipelines. Automate CI/CD and testing for backend and frontend services.
- Monitoring & Uptime: Deploy tools for observability (logging, alerts, debugging). Ensure 99.9% uptime of critical services.
- Dev Environments: Set up and manage developer and staging environments across teams.
- Quality & Security: Drive code reviews, implement backend best practices, and enforce security standards.
- Collaboration: Partner with other engineers (AI, frontend, hardware) to integrate backend capabilities seamlessly into our global system.
Must-Haves :
- 5+ years of experience in backend development and cloud infrastructure.
- Strong expertise in Node.js (TypeScript) and/or Python.
- Advanced skills in NoSQL databases (Firestore, MongoDB, DynamoDB...).
- Deep understanding of cloud platforms, preferably GCP and Firebase.
- Hands-on experience with CI/CD, DevOps tools, and automation.
- Solid knowledge of distributed systems and performance tuning.
- Experience setting up and managing development & staging environments.
• Proficiency in English and remote communication.
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- Familiarity with observability tools (Prometheus, Grafana, Google Monitoring).
- Previous work on large-scale SaaS products.
- Knowledge of telecommunication protocols (MQTT, WebSockets, SNMP).
- Experience with edge computing on Nvidia Jetson devices.
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- Competitive salary for the Indian market (depending on experience).
- Remote-first culture with async-friendly communication.
- Autonomy and responsibility from day one.
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- A mission-driven company tackling real-world environmental challenges.

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Experience: 4 to 7 years
- Must have strong knowledge in Python 2/Python 3
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- Flask framework or any other framework’s knowledge is great.
- Ability to write reusable, testable, and efficient code
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- Knowledge of Standard databases like MySql, PostgreSQL and NoSQL databases like MongoDB, Firebase, etc. Able to create database schemas that represent and support business processes.
- Understanding of fundamental design principles behind a scalable application
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- Good testing/debugging skills using standard python modules/IDEs
- Deployment experience with standard servers like Apache/AWS etc.
- Experience in testing frameworks known in the industry.
- Having good/basic knowledge of Front end Technologies HTML, CSS, Bootstrap, JavaScript is good.
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The candidate must have experience in coding part and team handling experience both



- Hands-on experience in backend programming languages.
- Experience in Python 3.X & Django is a must. Knowledge of .NET, Java, PHP is an added advantage.
- Hands-on experience in front-end technologies like Angular, jQuery, JavaScript, HTML, CSS, SCSS, etc.
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- Experience in client communication & reporting to the client-side management team.
- Experience in AWS is an added advantage.


- 3+ years of work experience as a Python Developer.
- Sound understanding and knowledge of Python and its ecosystem libraries like pandas and numpy. Also be able to write modular code and understand the python packaging system.
- Experience on web crawling, scraping (Scrapy,BeautifulSoup, Selenium) and web application development using Django/Flask Framework.
- Experience on Data-Science; exposure to Theanos, Tensorflow, Pytorch (preferable)
- Exposure to data mining, Pyspark (preferable)


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- is familiar with the paradigms of functional programming
- is familiar with at least one FP language (Haskell, Scala, OCaml, etc.)
- has the ability to participate in entire product development life-cycle
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