3+ AWS Simple Notification Service (SNS) Jobs in Pune | AWS Simple Notification Service (SNS) Job openings in Pune

About Us: Hey there! We’re Cambridge Wealth, part of Baker Street Fintech Pvt Ltd, and we’re shaking things up in the wealth and mutual fund distribution world. We've got some cool awards from BSE Star and top mutual fund houses, and we work with UHNI/HNI/NRI clients, including top-notch professionals. We're a fintech startup building a platform that blends cutting-edge tech with a personal touch. Our culture is all about ownership and excellence, led by a team with a history of delivering award-winning digital experiences.

What You’ll Do:

As a Back End Developer Trainee, you’ll be a part of the backbone of our tech team, making sure everything runs smoothly behind the scenes. You’ll be working with Python, Hasura, Jenkins, Rest APIs, Zoho CRM, and AWS services including RDS, SQS, Lambda, API Gateways, SNS, and EC2 to build and maintain the core functionalities of our platform.

Your Responsibilities:

• Develop and Maintain: Write clean, scalable code using Python and ensure our systems run efficiently.
• Integrate Systems: Use Hasura and Rest APIs to integrate various services and ensure seamless data flow.
• Automation: Implement Jenkins for continuous integration and deployment, making our development process as smooth as possible.
• AWS Services: Utilize AWS services like RDS, SQS, Lambda, API Gateways, SNS, and EC2 to enhance our platform’s capabilities.
• CRM Management: Work with Zoho CRM to streamline our customer relationship management processes.
• Collaborate: Team up with front-end developers, designers, and product managers to create a cohesive product.
• Troubleshoot: Identify and fix bugs or performance issues, ensuring a smooth user experience.
• Documentation: Keep comprehensive records of your code, integrations, and processes.

What We’re Looking For:

• Strong proficiency in Python.
• Experience with Hasura and building/integrating Rest APIs.
• Familiarity with Jenkins for CI/CD.
• Hands-on experience with Zoho CRM.
• Proficiency with AWS services (RDS, SQS, Lambda, API Gateways, SNS, EC2).
• Excellent problem-solving skills and attention to detail.
• Great communication skills and a team player mindset.

Bonus Points:

• Experience in the fintech industry.
• Familiarity with Agile development methodologies.
• Knowledge of financial regulations.

Is This You?

• You have 0-1.5 years of experience or a keen interest in fintech startups.
• You’re excited about building from the ground up in a startup environment.
• You thrive in an unstructured, small-team setting where you take the initiative.
• You’re aiming for a role with growth potential to a founding team position.
• You’re a self-starter who takes ownership of tasks and drives them to completion.

Compensation: Competitive

Location: Full-time, on-site at our Prabhat Road, Pune HQ.

Our Hiring Process:

1. Apply and answer a few quick questions (5 min).
2. Online Assessment Test (1.2 hour).
3. Recruiter screening phone interview (20 min).
4. Skills assessment take-home challenge.
5. Technical interview (30 min, discuss submitted assignment).
6. Founder’s interview (30 min).
7. Offer and reference/background check.

Ready to shape the future of fintech with us? Apply now and be part of our exciting journey!

You can speed-track your application by completing the online test below:

https://app.testgorilla.com/s/5u2jbv7w

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools