Job Description
Come to one of the world's leading IT services companies. Here, you can transform your career.
Why Join Us?
We believe people make a difference. That's why we live a culture of unlimited learning, full of opportunities for growth and mutual development.
Our Ideal Candidate
We're looking for a skilled Data Engineer who wants to learn and transform their career.
Responsibilities:
* Extensive experience (5+ years) working as a Data Engineer with a strong focus on AWS technologies and serverless architectures;
* Experience working as a Data Engineer with a focus on Azure is valuable;
* In-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB, and their capabilities for building scalable data processing systems;
* 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;
* Hands-on experience with data integration and ETL tools, such as AWS Glue or Apache Spark, for transforming and processing data;
* English language proficiency;
* Familiarity with data modeling techniques and data warehousing concepts, including star and snowflake schemas;
* Solid understanding of data security, access control, and compliance requirements in a data-driven environment;
* Experience with data visualization tools (e.g., Tableau, Power BI) and the ability to collaborate with analysts and data scientists to deliver actionable insights;
* Strong problem-solving and analytical skills, with a detail-oriented approach to ensure data accuracy and integrity;
* Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment
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 Can You Expect from Us?
• Professional development and constant evolution of your skills, always aligned with your interests.
• Opportunities to work outside Brazil.
Benefits
* 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
Our Inclusive Culture
We promote an inclusive culture, working for equity in areas such as Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles, and we strive to build a company that respects individuality.
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