Data Engineer

Tata Consultancy Services; Porto Velho; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A major IT services company in Brazil is seeking an experienced Data Engineer to design and implement serverless data architectures using AWS technologies. The ideal candidate has over 5 years of experience, strong proficiency in programming languages like Python, and the ability to collaborate effectively in a team. This role promises professional development opportunities and a diverse work environment.

Serviços

Health insurance

Dental Plan

Life insurance

Transportation vouchers

Meal / Food Voucher

Childcare assistance

Gympass

Certification reimbursement

Free TCS Learning Portal

Discounts with Universities and Language Schools

Qualificações

• 5+ years of experience as a Data Engineer.
• In-depth knowledge of AWS services for scalable data systems.
• Strong programming skills in Python, Java, or Scala.

Responsabilidades

• Design and implement AWS Serverless DataLake architecture.
• Develop data ingestion pipelines and integration processes.
• Collaborate with data scientists to understand data requirements.

Conhecimentos

AWS technologies

serverless architectures

Python

Java

SQL

data integration

ETL tools

data modeling

data visualization tools

problem-solving

Ferramentas

AWS Glue

Apache Spark

Tableau

Power BI

Descrição da oferta de emprego

Come to one of the biggest IT Services companies in the world!! Here you can transform your career!

Why to join TCS? Here at TCS we believe that people make the difference, that's why we live a culture of unlimited learning full of opportunities for improvement and mutual development. The ideal scenario to expand ideas through the right tools, contributing to our success in a collaborative environment.

We are looking for Data Engineer who wants to learn and transform his career.

In this role you will

• 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 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.
• 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.

Data lake, aws, spark, python

What can you expect from us?

• 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.

What do we offer?

• 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.

At TATA Consultancy Services we promote an inclusive culture, we always work for equity. This applies to Gender, People with Disabilities, LGBTQIA+, Religion, Race, Ethnicity. All our opportunities are based on these principles. We think of different actions of inclusion and social responsibility, in order to build a TCS that respects individuality. Come to be a TCSer!

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