HuQuo Looking for AWS Data Engineer – DataLake/Data Warehousing at Bengaluru Full Time

Remote: Hybrid

Position – AWS Data EngineerLocation – Pune/ Gurgaon/Hyderabad HybridExperience – 5+Job Description : – 5+ years of experience as a Data Engineer on the AWS Stack- AWS Solutions Architect or AWS Developer Certification required- Solid experience with AWS services such as Cloud Formation, S3, Athena, Glue, Glue Data Brew, EMR/Spark, RDS, Redshift, Data Sync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM, Event Bridge, EC2, SQS, SNS, Lake Formation, Cloud Watch, Cloud Trail- Programming experience with Python, Shell scripting, and SQL- Responsible for building, test,

QA & UAT environments using Cloud Formation.- Build & implement CI/CD pipelines for the EDP Platform using Cloud Formation and JenkinsGood to Have :- Implement high-velocity streaming solutions and orchestration using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred)- Solid experience building solutions on AWS data lake/data warehouse- Analyze, design, Development , and implement data ingestion pipeline in AWS- Knowledge of implementing ETL/ELT for data solutions end to end- ingest data from Rest APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.- Perform the Peer Code Review and, perform code quality analysis, and associated tools end-to-end for Prudential’s platforms- Create detailed, comprehensive, and well-structured test cases that follow best practices and techniques- Estimate, prioritize, plan & coordinate quality testing activities- Understanding requirements, and data solutions (ingest, storage, integration, processing, access)

on AWS- Knowledge of implementing RBAC strategy/solutions using AWS IAM and Redshift RBAC model- Knowledge of analyzing data using SQL Stored procedures- Build automated data pipelines to ingest data from relational database systems, file system , and NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift- Build Automated data pipelines to develop test plans, execute manual and automated test cases, help to identify the root causes, and articulate defects clearly- Recreate production issues to help determine the issue and verify any fixes- Conducting End to End verification and validation for the entire application- Creating Jenkins CI pipelines to integrate Sonar/Security scans and test automation scripts- Using Git/bitbucket for efficient remote team working, storing framework,

and developing test scripts- Part of DevOps QA and AWS team focusing on building CI/CD pipeline- Part of the release/build team and mainly worked on release management, CI/CD pipeline- Deploy multiple instances by using cloud formation :- Designing, building, and maintaining efficient, reusable, and reliable code- Ensure the best possible performance and quality of high-scale data applications and services- Participate in system design discussions- Independently perform hands-on Development and unit testing of the applications- Collaborate with the development team and build individual components into the enterprise data platform- Work in a team environment with the product, QE/QA,

and cross-functional teams to deliver a project throughout the whole software development cycle.- Responsible to identify and resolve any performance issues- Keep up to date with new technology development and implementation- Participate in code review to make sure standards and best practices are met- Project management: Agile developers take responsibility for estimating, planning, and managing all tasks and report on progress- Software quality: The Agile developer is also responsible for the quality of the software he/she produces. The team takes responsibility for the quality of the work they produce instead of turning over some code to a separate and independent group for testing- Teamwork: This includes collaboration with all other team members with the aim to take shared responsibility for the overall efforts- Understanding user needs:

This is about interacting with users as necessary to clarify requirementsEducation : Minimum of 15 years of formal education – BE/BTech or Graduate / Postgraduate in Computer Science / Information Technology (ref:hirist.com)

▶️ AWS Data Engineer – DataLake/Data Warehousing
🖊️ HuQuo
📍 Bengaluru