All jobs
Brillio logo
Brillio

173 open roles · AI & Data Engineering

Principal Data Engineer-R01570250

Other
Lead
Posted 2 weeks ago
Apply on company siteYou’ll apply directly with the employer on Lever.
Added to ZestAmigo
Last seen on employer site

Where you can work

Hybrid

Andhra Pradesh, India

View location wording from the posting
Hyderabad, Andhra Pradesh, India

Role overview

Extracted from the posting. Read the employer’s full description below.

What they are looking for

  • Design and architect scalable data pipelines and solutions using AWS native services to support complex business requirements
  • Develop, implement, and optimize ETL processes leveraging AWS technologies such as EMR, Redshift, Athena, and DMS
  • Configure and manage real-time data streaming and ingestion frameworks utilizing Kinesis and Amazon API Gateway
  • Monitor, troubleshoot, and enhance data infrastructure performance using CloudWatch and Open Search
  • Automate deployment and infrastructure provisioning with CloudFormation and manage schema migrations using SCT
Show all 29 items
  • Lead the implementation and integration of Master Data Management (MDM) solutions using Stibo within enterprise data platforms
  • Collaborate with cross-functional teams to integrate data solutions with enterprise applications and analytics platforms
  • Ensure data security, quality, and compliance by implementing best practices and leveraging AWS security features
  • Lead technical reviews, mentor junior engineers, and drive adoption of emerging data technologies within the organization
  • Advanced proficiency in AWS services including SNS, SQS, Amazon API Gateway, Athena, CloudFormation, CloudWatch, DMS, DynamoDB, EMR, Kinesis, Open Search, Redshift, SCT
  • Expertise in designing and managing data pipelines and ETL workflows on AWS
  • Strong experience with Spark using Scala for large-scale data processing
  • Hands-on experience with Oozie workflow scheduling and orchestration
  • Deep knowledge of real-time data streaming with AWS Kinesis
  • Proven ability to configure and optimize Amazon Redshift for analytics workloads
  • Experience with DynamoDB for NoSQL database solutions
  • Ability to automate infrastructure and deployments using AWS CloudFormation
  • Proficient in monitoring and logging with AWS CloudWatch
  • Skill in managing data migration and schema transformation using AWS SCT and DMS
  • Demonstrated expertise in implementing and integrating MDM solutions using Stibo
  • Experience integrating AWS data solutions with third-party analytics and visualization tools
  • Proficiency in optimizing performance for large-scale distributed data systems
  • Knowledge of emerging AWS data services and staying current with industry best practices
  • Experience with Open Search for search and analytics use cases
  • Background in mentoring and leading engineering teams in cloud data projects
  • Familiarity with advanced data governance and data quality frameworks in MDM environments
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
  • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional
  • Certification in Apache Spark or relevant big data technologies (preferred)

Employer description

Senior Tech Specialist, Applications & Platforms

Job requirements

Experience Range: 7 to 10 years of experience in advanced AWS data engineering, including significant expertise in Master Data Management (MDM) with Stibo and designing large-scale data solutions Key Responsibilities:

  • Design and architect scalable data pipelines and solutions using AWS native services to support complex business requirements
  • Develop, implement, and optimize ETL processes leveraging AWS technologies such as EMR, Redshift, Athena, and DMS
  • Configure and manage real-time data streaming and ingestion frameworks utilizing Kinesis and Amazon API Gateway
  • Monitor, troubleshoot, and enhance data infrastructure performance using CloudWatch and Open Search
  • Automate deployment and infrastructure provisioning with CloudFormation and manage schema migrations using SCT
  • Lead the implementation and integration of Master Data Management (MDM) solutions using Stibo within enterprise data platforms
  • Collaborate with cross-functional teams to integrate data solutions with enterprise applications and analytics platforms
  • Ensure data security, quality, and compliance by implementing best practices and leveraging AWS security features
  • Lead technical reviews, mentor junior engineers, and drive adoption of emerging data technologies within the organization

Required Skills:

  • Advanced proficiency in AWS services including SNS, SQS, Amazon API Gateway, Athena, CloudFormation, CloudWatch, DMS, DynamoDB, EMR, Kinesis, Open Search, Redshift, SCT
  • Expertise in designing and managing data pipelines and ETL workflows on AWS
  • Strong experience with Spark using Scala for large-scale data processing
  • Hands-on experience with Oozie workflow scheduling and orchestration
  • Deep knowledge of real-time data streaming with AWS Kinesis
  • Proven ability to configure and optimize Amazon Redshift for analytics workloads
  • Experience with DynamoDB for NoSQL database solutions
  • Ability to automate infrastructure and deployments using AWS CloudFormation
  • Proficient in monitoring and logging with AWS CloudWatch
  • Skill in managing data migration and schema transformation using AWS SCT and DMS
  • Demonstrated expertise in implementing and integrating MDM solutions using Stibo

Preferred Skills:

  • Experience integrating AWS data solutions with third-party analytics and visualization tools
  • Proficiency in optimizing performance for large-scale distributed data systems
  • Knowledge of emerging AWS data services and staying current with industry best practices
  • Experience with Open Search for search and analytics use cases
  • Background in mentoring and leading engineering teams in cloud data projects
  • Familiarity with advanced data governance and data quality frameworks in MDM environments

Desired Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline
  • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Professional
  • Certification in Apache Spark or relevant big data technologies (preferred)
Track this application

Keep your own notes. Only you can mark an application as sent.

Report a problem with this listing

Sign in to report this listing.

More at Brillio

Similar roles elsewhere

Hybrid

Colombia

Full-time

Salary unavailable

Posted 22 hours ago

Source: Lever

Unspecified / Remote

Remote eligibility: Eligibility not captured

Toronto, Ontario, Canada

Employment type unspecified

$125k to $170k CAD / year

Posted yesterday

Source: Greenhouse