4+ AWS Simple Queuing Service (SQS) Jobs in Delhi, NCR and Gurgaon | AWS Simple Queuing Service (SQS) Job openings in Delhi, NCR and Gurgaon

Job Description :

Roles and Responsibilities :

- Provide technical leadership and guidance to a team of software developers.

- Design and document application architecture and solutions

- Mentor and train team members on best practices and methodologies

- Collaborate with cross-functional teams to deliver high-quality software solutions.

Skills Required :

- 6+ years of Experience with WPF/WinForms/C#/.NET Remoting

- Excellent communication and leadership skills

- Ability to effectively lead a team of engineers.

- Experience with building Micro Services

- Experience with ORM frameworks such as LLBLGen Pro, Dapper and Entity Framework

- Experience with test-driven development (NUnit Unit Testing or equivalent)

- Experience with RDBMS Systems, specifically SQL Server and PostgreSQL

- Experience with agile methodology

- Familiarity with AWS components and services such as EKS/ECS, Lambda, S3, SNS, SQS

- Experience with SDLC practices such as maintaining backlog hygiene, standardizing code review processes, managing code quality, optimizing developer workflow, and increasing planning accuracy.

- Experience with DevOps best practices such as agile project management, shifting left with CI/CD, automation, monitoring, observability, and continuous feedback.

Primary Skills : WPF/WinForms/C#/.Net Remoting

Secondary Skills : Postgress SQL, EKS/ECS, Agile, CI/CD

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