Sales executive

Senior Data Engineer

• Data Engineering • Streaming Pipelines • Graph Databases • Entity Resolution

Role at a Glance Level

• Lead / Senior (Individual Contributor / Team Lead Track) Experience
• 7 - 10 years of relevant professional experience Location
• Remote (Pune Based Preferred) Employment Type
• Contract Industry Preference
• Any (Healthcare preferred - Payer / Provider experience strongly preferred)

About the Role

We are looking for a Senior Data Engineer with deep expertise in streaming architectures, graph database platforms, and large-scale data pipeline engineering. This is a high-ownership, hands-on role that sits at the intersection of real-time data infrastructure, entity resolution, and multi-database system design.

You will architect and build pipelines that drive a complex, multi-layered data platform - ingesting from diverse upstream sources, resolving entities at scale, and keeping graph, relational, search, and caching layers in sync. You will work closely with data architects, AI engineers, and product teams to deliver reliable, high-performance data infrastructure that powers downstream analytics and intelligent applications across any domain.

Key Responsibilities

Streaming & Ingestion Architecture

•Design and build production-grade CDC (Change Data Capture) pipelines using Apache Kafka, consuming events from PostgreSQL, SQL Server, and other RDBMS sources into a centralised knowledge graph.

•Architect multi-source ingestion connectors supporting schema evolution, backpressure handling, and at-least-once delivery guarantees across heterogeneous data sources.

•Configure and govern Confluent Schema Registry with Avro / Protobuf schemas across all Kafka topics; enforce backward and forward compatibility standards.

•Design micro-batch and streaming ETL/ELT workflows using Apache Spark or equivalent frameworks for bulk initial loads and ongoing incremental refresh patterns.

•Manage messaging workflows where required; define routing, dead-letter, and retry strategies appropriate to each integration pattern.

Graph Database Engineering

•Design, build, and optimise graph data models on a production graph database platform; Neo4j is preferred but experience with Amazon Neptune, ArangoDB, TigerGraph, or equivalent graph databases is valued.

•Author complex graph queries and traversal patterns - Cypher (Neo4j), Gremlin (Neptune/TinkerPop), or SPARQL - for both operational and analytical use cases.

•Own ingestion-side write strategies for the graph layer: batch import patterns, upsert logic, index management, and performance tuning under high write throughput.

•Collaborate with senior architects to ensure graph data models honour defined schema constraints and governance standards; apply constraint validation frameworks where applicable.

•Engineer reliable data flows across complementary stores - relational (PostgreSQL), search (Elasticsearch), caching (Redis), and time-series (TimescaleDB) - with consistent transaction semantics.

Entity Resolution & Data Quality

•Build probabilistic entity resolution engines for large-scale deduplication across master data domains - customers, products, entities, or records - leveraging record linkage concepts (Fellegi-Sunter model, blocking strategies, confidence thresholds) and libraries such as Splink, Zingg, or Dedupe.io.

•Define and enforce data quality validation rules at ingestion time; implement automated alerting for schema violations, volume anomalies, and SLA breaches.

•Design master data management patterns for cross-system entity matching and golden record creation; ensure consistency across all downstream consumers.

Data Platform & Lakehouse

•Design and implement data lakehouse patterns (Iceberg / Parquet on S3-compatible or Azure storage) for historical data retention, cost-efficient storage, and analytical workloads.

•Build and maintain ETL/ELT pipelines using Apache Spark or dbt; define transformation logic, partitioning strategies, and incremental processing patterns.

•Ensure data lineage, audit trail, and observability are built into pipeline design from the outset using OpenTelemetry or equivalent tooling.

Technical Leadership & Collaboration

•Contribute to a sub-team of data engineers; participate in sprint planning, design reviews, and on-call rotations for critical pipelines.

•Define and enforce coding standards, pipeline patterns, and infrastructure-as-code practices using Terraform, Docker, and Kubernetes.

•Drive proof-of-concept evaluations for new ingestion technologies, graph platforms, and data tooling relevant to the engagement.

Required Qualifications

Experience

•7 - 10 years of progressive experience in data engineering or a closely related discipline.

•Demonstrated track record of delivering production-grade streaming and CDC pipeline systems in enterprise environments across any industry vertical.

•Hands-on experience with graph database platforms in production - Neo4j preferred; Amazon Neptune, ArangoDB, TigerGraph, or equivalent is acceptable.

•Practical experience with entity resolution, fuzzy matching, or master data management at scale (500K+ records).

•Solid experience with multi-database architectures combining graph, relational, and search layers.

•Candidates from any industry are welcome; experience in regulated or data-intensive domains (financial services, retail, logistics, telecoms, healthcare) is advantageous.

Technical Skills

•Streaming & CDC: Apache Kafka

•Graph Databases: Production experience with at least one graph database platform - Neo4j (preferred), Amazon Neptune, ArangoDB, or TigerGraph; proficiency in the associated query language (Cypher, Gremlin, or SPARQL).

•Supporting Databases: PostgreSQL (relational), Elasticsearch (search), Redis (caching).

•Programming: Python (Advanced) - pipeline automation, data workflow scripting, testing; SQL at expert level for complex transformations and query optimisation.

•Entity Resolution: Probabilistic record linkage concepts; practical experience with Splink, Zingg, Dedupe.io, or a comparable library.

•Data Engineering: High-volume ETL/ELT pipeline design; Apache Spark for distributed processing; data lakehouse patterns (Iceberg, Parquet, Delta Lake).

•Cloud & Infrastructure: AWS or Azure - production delivery on at least one platform; Docker, Kubernetes, Terraform.

•Familiarity with semantic or schema standards - OWL 2, RDF, SHACL, JSON-LD - sufficient to write conformant graph data models against a defined schema.

•Experience with OpenTelemetry, distributed tracing, or observability tooling for pipeline monitoring and incident response.

•Prior work in compliance-driven data environments with audit trail, data masking, or access control requirements.

•Exposure to graph analytics and visualisation tooling such as Neo4j Bloom, Gephi, or equivalent.

•Experience with data governance platforms such as Microsoft Purview, Collibra, or Alation.

Preferred Qualifications

•Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related engineering discipline.

Senior Software Engineer – Retail Platforms (GCP | Java/Kotlin | MongoDB)

Location

 Kochi or Chennai or Bangalore ,willing to work on Bangalore

Role Overview

We are looking for a Senior Software Engineer to build and scale next-generation

retail and eCommerce platforms. The role focuses on developing cloud-native, high-

performance backend systems that power customer journeys, order management,

product catalogue, and real-time retail operations.

The ideal candidate will have strong expertise in Java/Kotlin, and MongoDB, along

with experience in GCP, React JS and high-scale, customer-facing applications.

Key Responsibilities

 Design and develop scalable backend systems for eCommerce platforms

 Ensure high availability and low latency for retail workloads

 Enable auto-scaling and high-availability architectures for peak retail

traffic

 Develop and manage microservices architecture for modular retail systems

Required Skills & Qualifications

 4–8 years of experience in backend development

 Strong proficiency in Java and Kotlin.

 Knowledge in Google Cloud Platform (GCP) , React JS and MongoDB /

NoSQL databases (Preferred).

 Experience in eCommerce or retail platforms .

 Strong understanding of microservices and event-driven architecture.

 Experience with REST APIs and distributed systems.

 Familiarity with Docker, Kubernetes, and CI/CD pipelines .

 Understanding of retail analytics and customer behaviour .

 Write clean, maintainable, and testable code

 Ensure adherence to security and data protection standards

DevOps & Release Engineering

 Implement CI/CD pipelines for faster releases

 Use Docker and Kubernetes for containerized deployments

Soft Skills

 Strong collaboration and communication skills

 Strong problem-solving and analytical mindset

 Ability to work in fast-paced, high-scale environments

 Customer-first thinking

What We Offer

 Opportunity to work on large-scale retail and eCommerce platforms

 Exposure to high-traffic, real-time systems

 Collaborative and innovation-driven environment

 Career growth in cloud-native and retail technologies

REQUIRED SKILLS:

GTM STRATEGY & PRODUCT POSITIONING

MANDATORY CRITERIA:

1. Must have 3+ years of B2B product marketing experience, preferably in SaaS/tech.
2. Must have strong GTM (Go-To-Market) strategy ownership for product/feature launches.
3. Must have deep understanding of B2B SaaS products, sales cycles, and subscription models.
4. Must have strong product positioning, messaging, and storytelling skills for global markets.
5. Must have experience with HubSpot for automation, email, and WhatsApp campaigns.
6. Must be highly analytical, with proven expertise in Google Analytics 4 (GA4) for performance & ROI tracking.
7. Must have experience designing localized, multi-Country marketing strategies.
8. Must be proficient in creating sales enablement content (product decks, case studies, battle cards).
9. Must be able to collaborate effectively with Product, Sales, and Customer Success teams.

DESCRIPTION:

Organizational Overview:

• The company is a global end-to-end hospitality technology provider specializing in solutions for small and medium-sized accommodation businesses.
• With more than 480+ Team members and 20+ years of experience, YCS currently has 40,000+ customers in over 170 countries, with 50+ supported languages in our software, and a 24/7 support network to match. 
• We have a Local team in 15+ countries including India, Thailand, Indonesia, Philippines, Sri Lanka, South Africa, Tanzania, Uganda, USA, Mexico, and counting.

Profile Overview:

• We are looking for a strategic and creative Product Marketing Manager to lead product positioning, messaging, and go-to-market strategies across multiple international markets — including India, Thailand, Philippines, USA, Mexico, and Africa.
• The ideal candidate will have a deep understanding of B2B SaaS products, strong storytelling skills, and the ability to tailor marketing strategies for diverse global audiences. This role requires a balance of analytical thinking, creative execution, and cross-functional collaboration to directly drive product adoption, engagement, and market growth and revenue acceleration.

Roles & Responsibilities:

• Lead the development and execution of global Go-To-Market (GTM) strategies for new feature releases and products, ensuring localized alignment.
• Conduct in-depth market, competitor, and customer research to develop and continuously refine compelling, differentiated product positioning and messaging.
• Own the localization of messaging and campaigns, collaborating with regional teams to ensure cultural relevance and maximum impact across target international markets.
• Design and execute performance-driven marketing funnels and digital campaigns aimed at driving qualified lead generation, pipeline acceleration, and customer nurturing for reducing churn & generating cross sell opportunities.
• Serve as the voice of the customer and the market expert, fostering deep collaboration across Product, Sales, and Customer Success teams for successful GTM execution.
• Develop high-impact sales enablement materials (e.g., product decks, battle cards, case studies) and compelling customer-facing content.
• Manage and optimize marketing automation efforts within HubSpot to execute targeted email, WhatsApp campaigns and monitor conversion performance.
• Apply a data-driven approach, leveraging Google Analytics 4 (GA4) and other tools to measure campaign ROI, user behavior, and continuously optimize conversion paths.
• Oversee the design direction and creation of core marketing materials, ensuring brand consistency and visual appeal.

Key Competencies:

• Strategic GTM Leadership: Demonstrated ability to develop and execute sophisticated, data-backed Go-to-Market strategies that drive product adoption and revenue.
• Global Positioning & Storytelling: Exceptional skill in crafting differentiated product positioning, compelling messaging, and localized content for diverse international B2B audiences.
• B2B SaaS Expertise: Deep understanding of the B2B sales cycle, SaaS subscription models, and how product marketing supports pipeline acceleration.
• Analytical & Data-Driven Mindset: Proficiency in interpreting marketing and product usage data to derive actionable insights and measure performance (ROI).
• Cross-Functional Collaboration: Strong interpersonal and communication skills to effectively align and influence stakeholders across Product, Sales, and Creative teams globally.

REQUIREMENTS:

• 5+ years of proven experience in B2B product marketing (preferably in SaaS or tech).
• Proficiency in HubSpot, Photoshop, and Canva.
• Strong analytical skills with experience using Google Analytics 4 (GA4).
• Ability to manage multiple projects in a fast-paced, collaborative environment.
• Excellent command of written and verbal English.
• Bonus: Familiarity with design or prototyping tools such as Figma. 

Job Title:Sales Engineers

Location:Pune, Maharashtra

Job Type: Full-Time

Job Summary:We are seeking a highly motivated Technical Sales Engineer to join our team. This role combines technical expertise with sales skills to provide solutions to customers and drive business growth. The ideal candidate will be responsible for understanding customer needs, presenting technical solutions, and building strong relationships to ensure customer satisfaction.

Key Responsibilities:• Develop a deep understanding of the company’s products and services.

• Identify customer requirements and recommend appropriate technical solutions.

• Prepare and deliver technical presentations, proposals, and product demonstrations.

• Collaborate with the sales team to develop strategies for business development.

• Work closely with the engineering and product teams to provide customer feedback for product improvement.

• Assist customers with product selection, integration, and troubleshooting.

• Negotiate contracts, pricing, and terms to close deals successfully.

• Maintain relationships with existing clients and seek opportunities for upselling and cross-selling.

• Stay updated on industry trends, market developments, and competitors' products.

• Represent the company at trade shows, conferences, and networking events.

Qualifications & Skills:• Bachelor's degree in engineering is preferred.

• Proven experience in technical sales, sales engineering, or a similar role.

• Strong understanding of technical concepts related to manufacturing products

• Excellent communication, presentation, and negotiation skills.

• Ability to build and maintain customer relationships.

• Self-motivated, goal-oriented, and able to work independently.

• Willingness to travel to meet clients and attend industry events.

Preferred Qualifications:• Experience in the Manufacturing industry

• Previous experience working with B2B sales

• Experience with Sheetmetal & Fabrication is a plus.

We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on  SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.

Can be anywhere in India ( Mumbai ,Pune and Kolkata is

preferable)

Machine Learning/Deep Learning experience above 3

years

• Clear and structured thinking and communication

Keywords: Machine Learning, Deep Learning, AI,

Regression, Classification, Clustering, NLP, CNN, RNN,

LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision

Forests

• Understand granular requirement, underlying business

problem and convert to low level design

• Develop analytic process chain with pre-processing,

training, testing, boosting etc.

• Develop the technical deliverable in mcube

(Python/Spark ML/R, H2O/Tensorflow) as per design

• Ensure quality of deliverable (coding standards, data

quality, data reconciliation)

• Proactively reach out for risks to Technical Lead
• Machine Learning, Deep Learning, Regression,

Classification, Clustering, NLP,CNN, RNN

• Expertise in data analysis and analytic programming

(Python/R/ SparkML/Tensorflow)

• Experience in multiple data processing technology

(preferably Pentaho or Spark)

• Basic knowledge in effort estimation, Clear and

structured thinking and communication

• Expertise in testing accuracy of deliverables (model)
• Exposure to Data Modelling and Analysis
• Exposure to information delivery (model outcome

communication)

M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)

• Masters course in Data Science after technical (engineering/

science) degree

As part of your day to day job, you’ll

1. Own end-to-end features of the app: networking, persistence, business logic, and

UI

2. Use Kotlin (primary) and Java

3. Do reactive programming using RxJava2

4. Follow Model-View-Intent architecture to build UI of the app

5. Use Android Architecture Components

6. Write tests

7. Invent awesome Android stuff to make your job easier

Qualifications

1. Motivation to design and build reliable, elegant apps

2. 3 - 5.5 years of android application development experience

3. Proficiency in Java and experience in Kotlin

4. Familiarity with RxJava2, Dagger2, OkHttp, Retrofit, Android Architecture

Components

5. Familiarity with material design

• Manages day to day business of the operations department 
• Oversees operational processes while looking for improvement opportunities
• Anticipates & tracks operational risks and provides strategic solutions
• Works with sales teams to help set and meet daily and quarterly goals.
• Plays a significant role in long-term planning and implementing quality control processes.
• Works closely with COO on other special planning and departmental projects.
• Oversees and reports weekly, monthly, quarterly, and annual metrics.
• Collaborates with other back-office team members to ensure seamless business execution, reinforce positive morale, and uphold company values.
• Collaborates with transitions and onboarding team as needed.
  
  If you want accelerated growth & a steep learning curve, AskMisha is the place to be.