Membership Ambassador

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

Data Engineer

Experience: 4–6 years

Key Responsibilities

• Design, build, and maintain scalable data pipelines and workflows.
• Manage and optimize cloud-native data platforms on Azure with Databricks and Apache Spark (1–2 years).
• Implement CI/CD workflows and monitor data pipelines for performance, reliability, and accuracy.
• Work with relational databases (Sybase, DB2, Snowflake, PostgreSQL, SQL Server) and ensure efficient SQL query performance.
• Apply data warehousing concepts including dimensional modelling, star schema, data vault modelling, Kimball and Inmon methodologies, and data lake design.
• Develop and maintain ETL/ELT pipelines using open-source frameworks such as Apache Spark and Apache Airflow.
• Integrate and process data streams from message queues and streaming platforms (Kafka, RabbitMQ).
• Collaborate with cross-functional teams in a geographically distributed setup.
• Leverage Jupyter notebooks for data exploration, analysis, and visualization.

Required Skills

• 4+ years of experience in data engineering or a related field.
• Strong programming skills in Python with experience in Pandas, NumPy, Flask.
• Hands-on experience with pipeline monitoring and CI/CD workflows.
• Proficiency in SQL and relational databases.
• Familiarity with Git for version control.
• Strong communication and collaboration skills with ability to work independently.

Developer – Full stack

·        Full stack development experience for 1-2 years

·        Implement new application features and improvements to existing features based on defined project requirements.

·        Experience with React or Angular framework

·        Familiarity of HTML5, CSS3, and JavaScript skills.

·        Experience developing server side applications in at least Java 8.

·        Experience with Spring Boot and REST APIs.

·        Collaborate with cross-functional teams to design, develop and deploy new features and applications

·        Ability to write and optimize SQL queries and database performance tuning

·        Familiar using source control systems, preferably Git.

·        Troubleshoot and resolve application bugs

·        Passionate about developing high quality code that has been thoroughly tested.

·        Strong written and verbal communications skills.

·        Stay up-to-date with emerging trends and technologies in web development

·        Implement automated testing and continuous integration and deployment processes

·        Ability to learn quickly.

Good to have skills

·        Python, Flask, Fast API knowledge

·        Cloud knowledge – preferably AWS

·        Understanding of graph database

·        Familiarity with containerization technologies such as Docker and Kubernetes

Requirements:

Responsibilities :

1. Develop user-facing stack from scratch
2. Build reusable code and libraries for future use
3. Ensure the technical feasibility of UI/UX designs
4. Optimize application for maximum speed and scalability
5. Collaborate with other team members and stakeholders

Technology Skills :

1. Proven 4 years work experience as a ReactJS Frontend developer
2. In-depth understanding of the entire web development process (design, development and deployment)
3. Good experience with Typescript and ReactJS (17.x). NodeJS knowledge is a plus.
4. Familiarity with Unit Testing Frameworks, UI Testing, Monorepos and Graphql principles
5. Knowledge of Alerting and Monitoring tools
6. Knowledge of SPA principles
7. UI Performance: should have hands on experience of optimising page load, rendering, caching
8. Sense for appeal & aesthetics from a usability perspective.

Soft Skills :

1. Obsessed with best practices, structuring, documentation and have an eye for detail.
2. Self starter with a high level of drive and commitment.
3. High energy and drive to work in a startup environment.
4. Conceptual thinking, flexibility and ability to juggle with multiple responsibilities.
5. Ability to work under pressure and confidence to deal with complex issues.
6. Good communication skills.
7. Hands-on and detail oriented.

Responsibilities: -

We are looking for a young person who wants to join a fast growing start up to work with Co-Founders to drive the org-wide goal setting and planning process, developing Strategy and growth road map

Assist CEO in institutionalizing people management and org structure, and contributing to shaping strategies across the teams

Analyze and determine key insights from key business drivers, competitive environment, trends and operating metrics

Contribute to complex and time-critical projects by quickly understanding the context and developing a prioritized approach for resolution

Coordinate with different functions within the organization - growth, product, engineering among, credit and others in the deployment of the business initiatives identified

Ideate, plan and oversee implementation of new ideas and business critical projects

Qualifications 

 Graduate and master’s degree from tier 1 Institutes and worked earlier with big3 companies like (The Bain, McKinsey , BCG and Kearney )

Min 3 – 6years of Chief of Staff experience after completing your graduate degree

Outstanding record of academic achievement and Demonstrated aptitude for Corporate Strategy

Proven record of leadership in a work setting and/or through extracurricular activities •

Exceptional analytical and quantitative problem-solving skills

Ability to work collaboratively in a team environment

Ability to work effectively with people at all senior levels in an organization

Ability to communicate complex ideas effectively – both verbally and in writing – in English

Experience – 3+ years

Location - Pune

Promobi is looking for a Customer Success Specialist who would be responsible for developing customer relationships to promote customer retention and loyalty. Who will value and nurture the client-business relationship and will connect the company product to the customer to maximize satisfaction. Someone who would be Reviewing the existing customer accounts and customer satisfaction. And will focus on growing additional sources of revenue and product reach within accounts.

Key Responsibilities :

• The individual role that you’ll play in our team.
• To support the post-sales customer lifecycle as it relates to customer adoption, on-going support, programme optimization, and expansion.
• Create better modes of operations to make customer service easier for both team members and customers.
• Pay attention to customer’s details and complaint
• Provide customer training and education on company products.
• Provide technical support to customer, with the help of Technical team.
• Establish a successful account management routine.
• Create, manage and track customer data using online tools.
• Develop and implement a well-planned customer on-boarding.
• Support customer renewals, proactively identifying and prioritizing resources and strategic value and renewal timeframe.
• Closely monitor the assigned Accounts; providing insight to Customers.
• To be responsible for customer retention and the prevention of churn across our Customer base.
• Focus on customer relationship management by helping them to upgrade to better plans and get more revenue for the business.

What we want to see in the potential Candidate

• Ability to work on customer relationship management applications.
• Quick learner and versatile.
• Must possess strong communication skills in English,---both written and verbal
• Excellent skills for communicating and relating with both team members and customers
• Good interpersonal skills to create a cordial relationship with team members
• Ability to work in a fast-paced, entrepreneurial, results-oriented culture.
• Have good to handle disputes and emergencies
• Must have a strong understanding of our Customers’ business objectives.
• Ability to identify and articulate how solution supports achievement of the Customers’ strategic business goals
• An excellent problem solver with strong analytical skills
• The ability to manage your time and plan your day effectively