5+ AWS Simple Notification Service (SNS) Jobs in Delhi, NCR and Gurgaon | AWS Simple Notification Service (SNS) Job openings in Delhi, NCR and Gurgaon

We are looking for a customer-obsessed, analytical Sr. Staff Engineer to lead the development and growth of our Tax Compliance product suite. In this role, you’ll shape innovative digital solutions that simplify and automate tax filing, reconciliation, and compliance workflows for businesses of all sizes. You will join a fast-growing company where you’ll work in a dynamic and competitive market, impacting how businesses meet their statutory obligations with speed, accuracy, and confidence.

As the Sr. Staff Engineer, you’ll work closely with product, DevOps, and data teams to architect reliable systems, drive engineering excellence, and ensure high availability across our platform. We’re looking for a technical leader who’s not just an expert in building scalable systems, but also passionate about mentoring engineers and shaping the future of fintech.

Responsibilities

• Lead, mentor, and inspire a high-performing engineering team (or operate as a hands-on technical lead).
• Drive the design and development of scalable backend services using Python.
• Experience in Django, FastAPI, Task Orchestration Systems.
• Own and evolve our CI/CD pipelines with Jenkins, ensuring fast, safe, and reliable deployments.
• Architect and manage infrastructure using AWS and Terraform with a DevOps-first mindset.
• Collaborate cross-functionally with product managers, designers, and compliance experts to deliver features that make tax compliance seamless for our users.
• Set and enforce engineering best practices, code quality standards, and operational excellence.
• Stay up-to-date with industry trends and advocate for continuous improvement in engineering processes.
• Experience in fintech, tax, or compliance industries.
• Familiarity with containerization tools like Docker and orchestration with Kubernetes.
• Background in security, observability, or compliance automation.

Requirements

• 7+ years of software engineering experience, with at least 2+ years in a leadership or principal-level role.
• Deep expertise in Python, including API development, performance optimization, and testing.
• Experience in Event-driven architecture, Kafka/RabbitMQ-like systems.
• Strong experience with AWS services (e.g., ECS, Lambda, S3, RDS, CloudWatch).
• Solid understanding of Terraform for infrastructure as code.
• Proficiency with Jenkins or similar CI/CD tooling.
• Comfortable balancing technical leadership with hands-on coding and problem-solving.
• Strong communication skills and a collaborative mindset.

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