Job Title:
Cloud Data Architect
Job Description:
Are you passionate about building data-driven solutions? Do you have a strong background in cloud computing and data engineering? We are looking for an experienced Cloud Data Architect to join our team. In this role, you will be responsible for designing and implementing large-scale data processing systems on AWS.
Required Skills and Qualifications:
We are looking for a highly skilled individual with the following qualifications:
* 5+ years of experience working as a Data Engineer or Cloud Architect with a strong focus on AWS technologies and serverless architectures.
* In-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB.
* Proven expertise in designing and implementing AWS serverless architectures for large-scale data processing and storage.
* Strong programming skills in languages like Python, Java, or Scala, along with experience using SQL for data manipulation and querying.
* Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas.
Benefits:
As a member of our team, you can expect:
* Professional development and constant evolution of your skills, always in line with your interests.
* Opportunities to work outside Brazil.
* A collaborative, diverse and innovative environment that encourages teamwork.
Key Responsibilities:
The ideal candidate will have the following key responsibilities:
* Design and implement an AWS Serverless DataLake architecture to efficiently handle large volumes of data and support various data processing workflows.
* Develop data ingestion pipelines and data integration processes, ensuring the smooth and reliable transfer of data from various sources into the DataLake.
* Implement data transformation and data enrichment processes using AWS Lambda, Glue, or similar serverless technologies to ensure data quality and consistency.
* Collaborate with data scientists and analysts to understand their data requirements and design appropriate data models and schemas in the DataLake.
* Optimize data storage and retrieval mechanisms, leveraging AWS services such as S3, Athena, Redshift, or DynamoDB, to provide high-performance access to the data.
* Monitor and troubleshoot the DataLake infrastructure, identifying and resolving performance bottlenecks, data processing errors, and other issues.
* Continuously evaluate new AWS services and technologies to enhance the DataLake architecture, improve data processing efficiency, and drive innovation.
* Mentor and provide technical guidance to junior data engineers, fostering their growth and ensuring adherence to best practices.
* Collaborate with cross-functional teams to understand business requirements, prioritize tasks, and deliver high-quality solutions within defined timelines.
What do we offer?
At TCS, we believe in providing a comprehensive benefits package to our employees. Some of the benefits include:
* Health insurance.
* Dental Plan.
* Life insurance.
* Transportation vouchers.
* Meal/Food Voucher.
* Childcare assistance.
* Gympass.
* TCS Cares – free 0800 that provides psychological assistance (24 hrs/day), legal, social and financial assistance to associates.
* Partnership with SESC.
* Reimbursement of Certifications.
* Free TCS Learning Portal – Online courses and live training.
* International experience opportunity.
* Discount Partnership with Universities and Language Schools.
* Bring Your Buddy – By referring people you become eligible to receive a bonus for each hire.
* TCS Gems – Recognition for performance.
* Xcelerate – Free Mentoring Career Platform.