Data Scientist

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.

Job Title : Senior Salesforce Marketing Cloud Developer

Experience : 5–8 years

Location : Bangalore (On-site)

Notice Period : Immediate to 15 Days Only

Job Description :

We are looking for a skilled Senior Salesforce Marketing Cloud Developer with 5 to 8 years of hands-on experience.

The ideal candidate will be responsible for designing and implementing personalized marketing journeys, automation workflows, and multi-channel campaigns using Salesforce Marketing Cloud (SFMC).

This role requires strong expertise in APIs, scripting, and data handling to build scalable, personalized customer experiences.

Must-Have Skills :

• Salesforce Marketing Cloud (Automation Studio, Journey Builder, Email Studio, Mobile Studio)
• API Integration
• Strong SQL skills
• AMPscript & JavaScript

Good-to-Have Skills :

• HTML & CSS
• Interaction Studio / Marketing Cloud Personalization

Requirements

• Design, implement, and manage CI/CD pipelines using Azure DevOps, GitHub, and Jenkins for automated deployments of applications and infrastructure changes.
• Architect and deploy solutions on Kubernetes clusters (EKS and AKS) to support containerized applications and microservices architecture.
• Collaborate with development teams to streamline code deployments, releases, and continuous integration processes across multiple environments.
• Configure and manage Azure services including Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and other data services for efficient data processing and analytics workflows.
• Utilize AWS services such as Amazon EMR, Amazon Redshift, Amazon S3, Amazon Aurora, IAM policies, and Azure Monitor for data management, warehousing, and governance.
• Implement infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate provisioning and management of cloud resources.
• Ensure high availability, performance monitoring, and disaster recovery strategies for cloud-based applications and services.
• Develop and enforce security best practices and compliance policies, including IAM policies, encryption, and access controls across Azure environments.
• Collaborate with cross-functional teams to troubleshoot production issues, conduct root cause analysis, and implement solutions to prevent recurrence.
• Stay current with industry trends, best practices, and evolving technologies in cloud computing, DevOps, and container orchestration.

**Qualifications: **

• Bachelor’s degree in Computer Science, Engineering, or related field; or equivalent work experience.
• 5+ years of experience as a DevOps Engineer or similar role with hands-on expertise in AWS and Azure cloud environments.
• Strong proficiency in Azure DevOps, Git, GitHub, Jenkins, and CI/CD pipeline automation.
• Experience deploying and managing Kubernetes clusters (EKS, AKS) and container orchestration platforms.
• Deep understanding of cloud-native architectures, microservices, and serverless computing.
• Familiarity with Azure Synapse, ADF, ADLS, and AWS data services (EMR, Redshift, Glue) for data integration and analytics.
• Solid grasp of infrastructure as code (IaC) tools like Terraform, CloudFormation, or ARM templates.
• Experience with monitoring tools (e.g., Prometheus, Grafana) and logging solutions for cloud-based applications.
• Excellent troubleshooting skills and ability to resolve complex technical issues in production environments.

• Develop, test, and maintain server-side applications using Node.js and related technologies.
• Design and implement RESTful APIs and microservices architecture to support frontend functionality.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize application performance, ensuring scalability and reliability.
• Conduct code reviews, mentor junior developers, and ensure adherence to best practices.
• Stay updated with emerging backend technologies and methodologies to improve development processes.

Mandatory

• SaaS experience of 2 years with total development experience of 4 years
• Must have worked in a smaller company of less than 100
• Should have built solutions/softwares end to end and not just as a part of bigger team
• Should see themselves going deeper into the same role even 5 years down the line
• Should have knowledge on Node.js, MongoDB, and AWS
• Strong understanding of asynchronous programming, event-driven architecture, and Node.js design patterns.
• Proficiency in working with databases such as PostgreSQL, MongoDB, or MySQL.
• Experience with API development, including RESTful services and microservices.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving skills and the ability to debug complex server-side issues.

Essential

• Proficiency with version control systems like Git.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of system design and scalable architecture.
• Understanding of security best practices and implementing secure APIs.

Good to Have

• Experience with GraphQL and related backend technologies.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with message brokers like RabbitMQ or Kafka.
• Experience with platforms like Shopify, BigCommerce, or other e-commerce technologies.
• Exposure to frontend technologies such as React for better cross-functional collaboration.

Are you a seasoned React Native Developer ready to make a significant impact in the world of travel and blockchain technology? 

YatriPay, a leading travel-based blockchain company, is seeking a highly skilled Senior React Native Developer to help us revolutionize the travel industry. In this role, you'll be a key player in creating innovative mobile solutions that enhance the travel experience for users around the globe. If you're a dedicated professional with a passion for travel and tech, we welcome you to join our team and be part of our mission to redefine the future of travel transactions. Your expertise will be the driving force behind our success.

Job Description-

Backend Developer- Senior

Experience - 3-6 years

Location: Pune/Kota

Minimum Qualifications:

- BE/B.Tech or ME/M.Tech in Computer Science.

- Must have “Can Do Attitude” towards work

- Must have work exp of 3-6 years

- Must have programming exp of 1-2 years in any of Python/Golang/Java languages

- Must have worked in product based company

- Ready to work in a startup and adaptable to a dynamic environment

- Ready to accept ad-hoc requirements and track them till they get implemented

- Ready to learn new technologies like Andriod, Angular, etc.

- Good at HTTP basics, OOPs concepts, data structures, algorithms, networking and

security aspects

- Ability to write clean code and maintain it

- Good at SQL/No-SQL databases

Preferred Qualifications:

- Experience in any good product based startup

- Experience in working with the team and managing a small team of 2-5 associates

- Experience in being a mentor for co-developers

- Experience in design/developing scalable systems.

- Experience in public cloud platforms services/APIs of AWS, Google Cloud, etc.

- Experience in data engineering

- Experience in SOA/Microservice architecture development

Responsibilities:

- Design and develop scalable services and APIs in Python/Golang

- Always maintain the services secure

- Should optimize APIs for mobile data and apps

- Use off-the-shelf and state-of-the-art services for faster development of product

- Guide team members with designs

- Take the end to end ownership of features and resolve customer issues on priority

- Mentor/guide/monitor junior developer

- Expertise Android/Angular to the required extent and guide app developers while

designing APIs

Opportunities in the role:

- LearnAngular, Python, Node.js, Golang, ELK stack, MEAN/MERN

- Work on AWS, Azure, Google Cloud Platform

- Work on databases like RDS, MongoDB, Big Table & DynamoDB, Redis, Aerospike

- Experience with SQL/ NoSQL Databases (RDS, DynamoDB, Google Datastore, Redis)

- Experience with ELK stack.

- Fast prototyping of proof-of concept features/application based on a brief

- Work on data engineering