Affine
https://affine.aiAbout
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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Jobs at Affine
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Python
Django
Flask- Programming Language: Python (Strong knowledge)
- Concurrency & Parallelism: Multithreading, Multiprocessing, AsyncIO, ThreadPoolExecutor, Future, concurrent.futures
- Memory Management: Reference Counting, Global Interpreter Lock (GIL)
- Distributed Computing: Dask, Apache Spark (Preferred)
- Data Processing: NumPy
- Inter-Service Communication: GRPC, REST API
- Containerization & Orchestration: Docker, Kubernetes
- Software Development Practices: Code Optimization, Debugging, Performance Tuning
- Communication & Problem-Solving: Technical Documentation, Team Collaboration, Asking for Clarity When Needed
Skills And Expertise
- Python,
- Multithreading,
- Multiprocessing,
- Dask, Apache Spark,
- NumPy,
- REST API,
- Docker,
- Kubernetes,
- Code Optimization
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Responsibility:
- Design, develop, and deploy Power BI reports and dashboards that provide key insights into business performance.
- Create and maintain complex Power BI data models, integrating data from multiple sources.
- Write and optimize SQL queries to extract, manipulate, and analyze data from various databases.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective BI solutions.
- Perform data analysis using Excel, Power Query, and other tools to support reporting and analytics needs.
- Monitor and troubleshoot Power BI reports and data refresh schedules to ensure consistent performance.
- Implement security measures and ensure data is presented to the appropriate audience through role-based access.
- Continuously improve the usability, interactivity, and performance of reports.
- Provide training and support to end-users on Power BI usage.
Work Mode:
- 2 to 3 days a month will be work from client office in Gurugram/Hyderabad
- Preferred Location - Gurugram/Hyderabad.
- For other locations, candidate should be willing to travel to Gurugram/Hyderabad for a few days every month.
External Skills And Expertise
Must Have Skills:
- Excel
- SQL
- Power BI Dax
- Power Query
- Power BI Online Services
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Responsibilities:
- Code emails in Emarsys ESP environment using HTML and Emarsys tags.
- Integrate models from DS team using Emarsys and Snowflake data connections.
- Use JIRA to manage email development tickets.
- Dedicated PM to manage partnership between developers and BN email team, providing status updates of all projects. This person is the POC for all project discussions and help.
- Development needs - average of 9 emails/per week over the year.
- Ability to pick up and edit pre-built legacy emails and build email from scratch using creative Figma files.
- QA media prior to sharing to reduce errors in layouts, copy and links
External Skills And Expertise
Mandate Skills:
- Emarsys
- Digital Marketing
Optional Skills:
- SQL
- Excel
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data AnalyticsWe are looking for a detail-oriented Business Analyst with expertise in Tableau, statistics, SQL, and Excel. The role involves data analysis, creating interactive dashboards, and providing actionable insights to support business decisions and improve operations.
Key Responsibilities:
- Data Analysis & Visualization: Use Tableau for dashboards and conduct statistical analysis.
- SQL & Data Management: Write and optimize SQL queries, ensure data accuracy.
- Reporting: Develop Excel spreadsheets, analyze business processes, and provide reports.
- Collaboration: Work with cross-functional teams to gather requirements and deliver insights.
- Project Management: Manage multiple projects, deliver timely reports, and support teams with data insights.
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ScalaRole 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.
- SFDC(Data modelling experience) would be given preference
- 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
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Scala
Amazon Web Services (AWS)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
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Blitzy is a Boston, MA based Generative AI Start-up with an established office in Pune, India. We are on a mission to automate custom software creation to unlock the next industrial revolution. We're backed by multiple tier 1 investors, have success as founders at the last start-up, and dozens of Generative AI patents to our names.
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