Customer relationship (ecommerce- fashion)- Female

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.

Must have:

• Experience of 1-2 years in social media management and staying updated with trends
• Experience in Coordination with Video editors for high quality content editing

Key Responsibilities:

• Review podcast content to identify engaging moments, themes, and insights for social media.
• Write compelling captions for podcast promotions and Instagram stories that resonate with our audience.
• Collaborate with editors to create visually striking thumbnails and short-form content from podcast episodes.
• Develop and manage a strategic content calendar to optimize reach and engagement on Instagram and YouTube.
• Create engaging street interview content that aligns with our brand's voice.
• Analyze performance metrics to refine strategies and improve content effectiveness.
• Stay updated with social media trends, particularly for Instagram Reels, YouTube Shorts, and emerging content formats.

Responsibilities

• Take product ideas from ideation to implementation
• Design and develop backend services that expand the capabilities of the product
• Write high quality, structured application/interface code and tests
• Lead engineering discussions to ensure the best practices, maintainability and security of the application
• Participate in design and code reviews

We are looking for

• 3+ years of experience building quality applications
• Proficient in Node JS, NoSQL databases
• Strong working knowledge of Web technologies and APIs
• Passion for best design and coding practices and a desire to develop new bold ideas
• Experience in planning, designing architecture and working with teams
• Experience with SaaS product or an early stage startup is a plus

TECHNICAL SKILLS AND EXPERIENCE:

● Profound Experience in client handling/communication from the beginning till the successful.

◾ Generate business through online portals like Upwork, Fiverr, Freelancer etc.

◾ Bringing new projects through bidding, Client communication, Proposal making/writing.

◾ Experience in handling Indian and International clients.

◾ Must have Excellent Written communication & Writing Skills.

• Can write reliable, scalable, testable and maintainable code.
• Familiarity with Agile methodologies and clean code.
• Design and/or contribute to client-side and server-side architecture.
• Well versed with fundamentals of REST.
• Build the front-end of applications through appealing visual design.
• Knowledge of one or more front-end languages and libraries (e.g. HTML / CSS, JavaScript, XML, jQuery, Typescript) JavaScript frameworks (e.g. Angular, React, Redux, Vue.js)
• Knowledge of one or more back-end languages (e.g. C#, Java, Python, Go, Node.js and frameworks like SpringBoot, .NET Core) 
• Well versed with fundamentals of database design.
• Familiarity with databases - RDBMS like MySQL, Postgres & NoSQL like MongoDB, DynamoDB.
• Well versed with one or more cloud platforms like - AWS, Azure, GCP.
• Familiar with Infrastructure as Code - CloudFormation & Terraform & deployment tools like Docker, Kubernetes.
• Familiarity with CI/CD tools like Jenkins, CircleCI, Github Actions.
• Unit testing tools like Junit, Mockito, Chai, Mocha, Jest

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

We are looking for a Angular Developer (Angular Experts) responsible for managing the interchange of data between the server and the users.

• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Implementation of security and data protection
• Participate on project teams as needed to develop and deploy software solutions to meet business requirements
• Create and deploy cloud-hosted web applications and content management systems as well as internal tools and frameworks
• Participate in AGILE project methodology and conform to coding standards including git workflow and code reviews.

REQUIREMENTS

• Strong proficiency with JavaScript
• Experience in creating and deploying cloud-based web applications.
• Good at Jade, EJS,
• Good at CSS preprocessors (such as Stylus, Less, etc depending on your technology stack)
• Front-end technologies, such as HTML5, and CSS3
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• PLUS - experience with React.JS, React Native, vue.js JavaScript framework * Experience with Amazon Web Services
• PLUS - experience with Jenkins or other Continuous Integration tools

• Determine and define project scope and objectives
• Predict resources needed to reach objectives and manage resources in an effective and efficient manner
• Prepare budget based on scope of work and resource requirements
• Track project costs in order to meet budget
• Develop and manage a detailed project schedule and work plan
• Provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress
• Manage contracts with vendors and suppliers by assigning tasks and communicating expected deliverables
• Utilize industry best practices, techniques, and standards throughout entire project execution
• Monitor progress and make adjustments as needed
• Measure project performance to identify areas for improvement