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

Responsibilities
• Develop and maintain all server-side network components
• Ensure optimal performance of the central database and responsiveness to front-end requests
• Collaborate with Frontend Developers on the integration of elements
• Working knowledge of socket programming
• Understand Facebook, Google, Twitter APIs
• Design customer-facing UI and backend services for various business processes
• Develop high-performance applications by writing testable, reusable, and efficient code
• Implement effective security protocols, data protection measures, and storage solutions
• Run diagnostic tests, repair defects, and provide technical support
• Document node.js processes, including database schemas, as well as prepare reports
• Recommend and implement improvements to processes and technologies
• Keep informed of advancements in the field of node.js development
• Extracting data from various social media and web via scraping or official API
Profile Requisites
• Bachelor's Degree in Computer Science, Information Science, or similar
• At least 4 years' experience as a node.js developer
• Extensive knowledge of JavaScript, web stacks, libraries, and frameworks
• Knowledge of frontend technologies such as HTML5 and CSS3
• Should have extensive experience with MongoDB
• Experience with a caching layer like redis
• Familiarity with Facebook, Google & Twitter APIs
• Familiarity with social media login and extracting data from authentication
• Experience with AWS services like SNS, SQS, EC2 instances, and Lambda
• Experience with Jenkins and Docker
• Familiarity with scraping from web and social media
• Familiarity with creation and working with proxies
• Proficient in unit testing framework like Mocha
• Experience in integrating 3rd party APIs
• Experience with elastic search would be great
• Superb interpersonal, communication, and collaboration skills
• Exceptional analytical and problem-solving aptitude
• Should be able to think of optimized solutions and scalable solution

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

Roles & Responsibilities: • Migrate AWS services across regions • Deploy, manage, and operate systems on AWS • Implement and control the flow of data to and from AWS • Select the appropriate AWS service based on compute, data, or security requirements • Identify appropriate use of AWS operational best practices • Estimate AWS usage costs and identify operational cost control mechanisms • Migrate on-premises workloads to AWS Requirements: • Minimum 2-5 years experience of cloud administration. • Hands-on experience with ability to work independently without supervision • Solid knowledge of AWS ecosystem (EC2, S3, Route 53, Redis, RDS, etc.) • Candidates having AWS SysOps Administrator Certification will be preferred