Sr. Data Engineer

Sonata Software (SonataOne); San Antonio (TX); Presencial; USD 120 000 - 170 000; Tempo integral

Resumo da oferta

Sonata Software is an AI-first modernization engineering company that helps enterprises transform legacy systems into intelligent, scalable business platforms. Powered by its Platformation framework and Harmoni.AI platform, Sonata delivers AI-led modernization across cloud, data, AI, Dynamics, test automation, and managed services.

Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace.

Qualificações

• A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it
• Contribute to the overall data platform architecture and evolution
• Experience with data concepts (SQL, NoSQL, Normalization) and working with sophisticated data structures
• Experience with Infrastructure-as-code tools such as CloudFormation and Terraform
• Experience in designing and implementing cloud data solutions using AWS technologies (EC2, EMR, DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda, CloudTrail, Systems Manager, KMS, Kinesis Streams)
• Experience in MDM (Master Data Management) implementation involving platforms like Reltio, Informatica etc.
• Proficiency in scripting languages; SQL, Python, Scala, C#, or Go
• Solid understanding of scripting languages such as bash or PowerShell
• Track record of building scalable Data Lake solutions connecting to distributed data storage via connectors
• Background in data engineering – Data Warehouse, ETL/ELT and BI experience
• Envision and integrate emerging data technologies; tackle sophisticated business and technical problems
• Experience with stream analytics technologies
• Familiarity with agile, CI/CD and DevOps practices

Responsabilidades

• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Working knowledge of modern data architectures and trends such as Data Mesh, Data Lakehouse
• Working knowledge of Master Data Management (Reltio preferred)
• Research, analyze, recommend, and select technical approaches for solving development and integration problems
• Build and maintain automated methods of orchestrating data flows and products while supervising data quality and infrastructure status
• Implement additional project components (API interfaces) for accessibility
• Implement secure cloud data solutions aligned to privacy and security controls
• Enable and support data and analytics capabilities ensuring requirements and standards are met

Conhecimentos

Data engineering

Distributed systems

Data architecture

CI/CD & DevOps

SQL

Ferramentas

AWS

Terraform

CloudFormation

Reltio

Informatica

Python

Descrição da oferta de emprego

Role & Responsibilities

• Experience building/operating highlyavailable, distributed systems of data extraction, ingestion, and processing oflarge data sets
• Working knowledge of modern dataarchitectures and trends such as Data Mesh, Data Lakehouse, etc.
• Working knowledge of Master Data ManagementReltio preferred
• Research, analyze, recommend, and selecttechnical approaches for solving exciting and sophisticated development andintegration problems
• Build and maintain automated methods oforchestrating data flows and products while supervising data quality and thestatus of related infrastructure
• Implement additional project components (APIinterfaces) for accessibility
• Implement secure cloud data solutions whichalign to privacy and security controls
• Enable and support data and analyticscapabilities and technologies, ensuring functional specifications meet orexceed established business and functional requirements, technical standards,quality

Qualifications

• A passion for all things data; understandinghow to work with it at scale, and more importantly, knowing how to get the mostout of it
• Contribute to the overall data platformarchitecture and evolution
• Experience with data concepts (SQL, NoSQL,Normalization) and working with sophisticated data structures
• Experience with Infrastructure-as-code toolssuch as Cloud Formation and Terraform
• Experience in designing and implementingcloud data solutions using a broad range of AWS technologies (e.g. EC2, EMR,DMS, GLUE, S3, Lake Formation, Redshift, VPC, IAM, CloudWatch, SQS, Lambda,CloudTrail, Systems Manager, KMS, Kinesis Streams)
• Experience in MDM (Master Data Management)implementation involving platforms like Reltio, Informatica etc.
• Proficiency in one or more of the followingscripting languages; SQL, Python, Scala, C#, or Go
• Solid understanding of scripting languagessuch as bash or PowerShell
• Track record of successfully buildingscalable Data Lake solutions that connects to distributed data storage usingmultiple data connectors
• Must have a background in data engineering –Data Warehouse, ETL/ELT and BI experience
• Serve as an authority; envision and integrateemerging data technologies, anticipate new trends to tackle sophisticatedbusiness and technical problems
• Working experience with various streamanalytics technologies
• Familiarity with modern engineeringpractices, including agile development, CI/CD and DevOps.

ABOUT SONATA SOFTWARE

Sonata Software is anAI-first modernization engineering company that helps enterprises transformlegacy systems into intelligent, scalable business platforms. Powered by itsPlatformation™ framework and Harmoni.AI platform, Sonata delivers AI-led modernizationacross cloud, data, AI, Dynamics, test automation, and managed services.Headquartered in Bengaluru, India, Sonata has more than $1.2 billion in revenueand 6,400+ AI engineers supporting global delivery across regions including theUS, UK, India, Malaysia, Mexico, Australia, DACH, and the Nordics. With deeppartnerships across Microsoft, AWS, Salesforce, and Snowflake, Sonata helpsFortune 500 enterprises accelerate innovation, improve efficiency, and drivesustainable growth.

Sonata Software is an EqualOpportunity Employer encouraging diversity in the workplace. All qualifiedapplicants will receive consideration for employment without regard to race,national origin, gender identity, age, religion, disability, sexual orientation,veteran status, marital status, or any other characteristics protected by law