Affine

Snowflake Administrator Acquired skills:

• Identify the various aspects of compute and storage management
• Illustrate administrative tasks within the detailed architecture of Snowflake
• Review Snowflake best practices & considerations for managing load operations and performance
• Describe data governance in Snowflake, including column-level data security using secure views and
• dynamic data masking features
• Manage multiple accounts across the Organization
• Describe the DDL operations that work with fundamental database objects
• Discuss transaction and concurrency models and DML considerations
• Employ recovery methods and agile development with Time Travel & Cloning
• Implement advanced techniques for Snowflake performance-tuning methodologies
• Design and develop secure access to objects in Snowflake with Role-Based Access Control (RBAC)
• Recommend the Snowflake best practices for management, monitoring, and optimization
• Use data replication for data sharing across accounts and for failover scenarios
• Share data securely both within and without your organization

Detailed Snowflake Architecture and Overview

• Snowflake Technical Overview
• Overview of Three-Tiered Architecture

Compute Management

• Scaling Virtual Warehouses Up & Out
• Creating and Managing Virtual Warehouses

Mandatory Skills:

Compute & Storage Management, Load Operations Management, Snowflake Architecture, Data Governance, Column-Level Data Security, Dynamic Data Masking, DDL/DML Operations, Transaction & Concurrency Models, Recovery Methods, Agile Development, Time Travel, Role-Based Access Control (RBAC), Data Replication, Secure Data Sharing

Good to Have Skills:

Talend Admin Experience, Cost Optimization

We 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.

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.
• 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

We are looking for an experienced iOS Developer with a strong background in Swift UI to join our team. The ideal candidate will be responsible for developing, maintaining, and enhancing iOS applications to meet our Virtual assistant needs. The candidate should have strong communication skills, be able to work collaboratively with a team, and be passionate about building high-quality mobile applications.

Responsibilities:

• Develop and maintain iOS applications using Swift UI.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Identify and correct bottlenecks and fix bugs.
• Ensure the performance, quality, and responsiveness of applications.
• Perform unit testing and ensure the robustness, reliability, and performance of applications.
• Stay up-to-date with the latest iOS development trends and best practices.
• Self - driven and quick learner.
• Must have strong verbal and written communication skills.

External Skills And Expertise

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 4 years of experience in iOS development with a strong focus on Swift UI.
• Proficient with iOS frameworks such as Core Data, Core Animation, etc.
• Understanding of iOS design principles and interface guidelines.
• Experience with RESTful APIs, GraphQL, JSON, and integrating third-party libraries and APIs.
• Strong knowledge of mobile SDKs, different iOS versions, and handling different screen sizes
• Familiarity with Agile development methodologies.
• Knowledge of version control tools such as GIT.
• Experience with unit testing, test-driven development, and CICD architecture.
• Exposure to AWS landscape is an added advantage.

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