
Role Objective:
Big Data Engineer will be responsible for expanding and optimizing our data and database architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
Roles & Responsibilities:
- Sound knowledge in Spark architecture and distributed computing and Spark streaming.
- Proficient in Spark – including RDD and Data frames core functions, troubleshooting and performance tuning.
- Good understanding in object-oriented concepts and hands on experience on Scala with excellent programming logic and technique.
- Good in functional programming and OOPS concept on Scala
- Good experience in SQL – should be able to write complex queries.
- Managing the team of Associates and Senior Associates and ensuring the utilization is maintained across the project.
- Able to mentor new members for onboarding to the project.
- Understand the client requirement and able to design, develop from scratch and deliver.
- AWS cloud experience would be preferable.
- Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3, etc. (preferred)
- Hands on experience utilizing AWS Management Tools (CloudWatch, CloudTrail) to proactively monitor large and complex deployments (preferred)
- Experience in analyzing, re-architecting, and re-platforming on-premises data warehouses to data platforms on AWS (preferred)
- Leading the client calls to flag off any delays, blockers, escalations and collate all the requirements.
- Managing project timing, client expectations and meeting deadlines.
- Should have played project and team management roles.
- Facilitate meetings within the team on regular basis.
- Understand business requirement and analyze different approaches and plan deliverables and milestones for the project.
- Optimization, maintenance, and support of pipelines.
- Strong analytical and logical skills.
- Ability to comfortably tackling new challenges and learn
External Skills And Expertise
Must have Skills:
- Scala
- Spark
- SQL (Intermediate to advanced level)
- Spark Streaming
- AWS preferable/Any cloud
- Kafka /Kinesis/Any streaming services
- Object-Oriented Programming
- Hive, ETL/ELT design experience
- CICD experience (ETL pipeline deployment)
Good to Have Skills:
- AWS Certification
- Git/similar version control tool
- Knowledge in CI/CD, Microservices

About Affine
About
Affine is a pioneering consulting firm that specializes in AI-driven enterprise transformation. With a robust focus on Generative AI, we deliver cutting-edge solutions that redefine industry standards.
Our comprehensive capabilities span the entire analytical value chain, from data to insights and transformation. We provide Cloud Advisory and Assessment, Cloud Migration, Data Lake Design and Development, Big Data Powered Advanced Analytics, AI & Deep Learning Solutions, and Deployment Consulting with Architecture Design.
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Responsibilities:
- Data Collection and Preparation:
- Gather data from various sources, including databases, spreadsheets, and APIs.
- Clean, validate, and transform data to ensure accuracy and consistency.
- Develop and maintain data pipelines for efficient data processing.
- Data Analysis and Interpretation:
- Analyze large datasets to identify trends, patterns, and correlations.
- Perform statistical analysis and hypothesis testing to validate findings.
- Develop and implement data models and algorithms to support analysis.
- Create visualizations and reports to communicate insights to stakeholders.
- Reporting and Communication:
- Prepare and present data-driven reports and dashboards to communicate findings.
- Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations.
- Clearly articulate complex data insights to non-technical audiences.
- Database Management:
- Assist in the design and maintenance of databases.
- Write and optimize SQL queries for data retrieval and manipulation.
ketteQ is a supply chain planning and automation platform. We are looking for an experienced AWS Devops Engineer to help manage AWS infrastructure and automation. This job comes with a attractive compensation package, work-from-home and flex-time benefits. You will get to work on projects for large global brands with a highly experienced team based in US and India. If you are high-energy, motivated, and initiative-taking individual then this could be a fantastic opportunity for you. Candidates must meet the following requirements:
Duties & Responsibilities
- Deployment, automation, management, and maintenance of AWS cloud-based production system
- Build a deployment pipeline for AWS and Salesforce
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Work collaboratively with software engineering to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure defined as cloud formation template
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
Requirements
- At least 5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, Fargate, S3, Cloud Formation)
- Strong understanding of how to secure AWS environments and meet compliance requirements
- Solid foundation of networking and Linux administration
- Experience with Docker, GitHub, Jenkins, Cloud Formation and deploying applications on AWS
- Ability to learn/use a wide variety of open source technologies and tools
- Database experience to help with monitoring and performance; PostgreSql experience preferred
- AWS certification preferred
Education
- Bachelors in Engineering or related field
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Support all internal and external HR-related inquiries or requests.
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Maintain digital and electronic records of employees.
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Assist with the recruitment process by identifying candidates, performing reference checks and issuing employment contracts.
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Assist with performance management procedures.
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Schedule meetings, interviews, and HR events and maintain agendas.
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Coordinate training sessions and seminars.
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Perform orientations and update records of new staff.
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Produce and submit reports on general HR activity.
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Complete termination paperwork and exit interviews.
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Keep up to date with the latest HR trends and best practices.
Headquartered in San Francisco, CA our client is an online marketplace that offers high quality sustainable fashion at altogether low prices. It is a pioneer in the manufacturer to consumer (M2C) retail model where factories produce inventory on demand and ship directly to the customers, thereby eliminating environmental and financial wastages.
The company has raised $14.5 MM in seed funding and partners with over 30 manufacturers around the world and is founded by seasoned entrepreneurs and technology leaders who come from institutions like IIT Bombay and Stanford GSB.
As a Customer Service Manager - International Logistics, you will be responsible for ensuring a strong customer experience from order placement to final delivery.
What you will do:
- Hiring, training and managing a growing team of customer service representatives to create an unbeatable customer experience
- Achieving a 2 hour response time during business hours
- Conducting 1:1 feedback sessions with customer service representatives every 2 weeks
- Retaining star performers
- Managing out underperformers
- Managing all the logistics issues and maintaining the SLA
- Daily reporting on the performance of carrier
- Scheduling and managing shifts
- Managing training, invoices and materials for new hires
- Making recommendations on full-time offers post-training period
- Monitoring customer and internal customer question queue
- Answering customer emails a week to maintain a close understanding of customer issues
- Stepping in as full-time CS representative when needed
- Responding to escalations across the customer care team with availability at all hours
- Reporting weekly metrics to management
- Editing and create macros, tags and rules to improve data capture and response time
- Liaising with vendors and returns warehouse as needed
- Creating and executing communication plan during any issue affecting large sets of customers
- Identifying customer experience improvements, tech issues, vendor issues and prioritizing based on financial impact
Desired Candidate Profile
What you need to have:- BA/ BSc degree or relevant experience (e.g. Logistics industry or Apparel Industry)
- 3-5+ years of experience as Logistics CSS Manager
- A focus on execution, problem-solving, improving processes and brand enhancement
- High curiosity
- Openness to considering new perspectives
- Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.
- The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.
- The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
- Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.
6 Years - 10 Years
Analytics
- Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform
We need Sales professionals for our educational SaaS product. Role involves generating/sourcing leads, understanding customer requirement, driving sales, and servicing after-sales needs. We are looking for candidates who are self-starter, who can get going from day 1, who is hungry for success and most importantly can go after achieving dreams.
For top notch candidates, we are willing to offer lucrative stake in the company.
Detailed job responsibilities:
- Serves customers by selling products/services as per customer needs.
- Services existing accounts, obtains orders, and establishes new accounts by planning and organizing daily work schedule to call on existing or potential sales outlets and other trade factors.
- Submits orders by referring to price lists and product literature.
- Keeps management informed by submitting activity and results reports, such as daily call reports, weekly work plans, and monthly and annual territory analyses.
- Monitors competition by gathering current marketplace information on pricing, products, new products, delivery schedules, and merchandising techniques.
- Recommends changes in products, service, and policy by evaluating results and competitive developments.
- Resolves customer complaints by investigating problems, developing solutions, preparing reports, and making recommendations to management.
- Maintains professional and technical knowledge by attending educational workshops, reviewing professional publications, establishing personal networks, and participating in professional societies.
- Contributes to team effort by accomplishing related results as needed.
Develop, maintain, and promote an internal web-based repository of UI design guidelines and patterns, code samples, and UI componentry.
Be an Interface with a set of clients (client senior developers and architects) to create technology specifications from business requirements for one or more modules within the project.
Responsible for preparing the technical design of the components within the module (one or more of client/web presentation tier, server tier, data access and data model, integration component, package function customization).
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