Data Analyst II

Job not on LinkedIn

🕒 6 days ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Design, build, and maintain scalable, resilient, high-performance data pipelines. • Work with large volumes of structured and unstructured data. • Ensure data quality, consistency, and governance throughout the information lifecycle. • Develop processes for data ingestion, transformation, and delivery. • Collaborate with software engineering, data analytics, data science, and business teams. • Participate in defining data architectures and evaluating new technologies and tools. • Monitor and optimize data processing workflows in distributed environments. • Support initiatives to modernize and evolve the data platform.

🎯 Requirements

• Strong experience in Data Engineering within distributed environments. • Strong experience with Apache Spark. • Advanced knowledge of Scala. • Experience with AWS services, including Glue, S3, EMR, Athena, and Redshift. • Strong experience in data modeling. • Experience with ETL and ELT processes. • Experience building data pipelines. • Familiarity with relational databases. • Familiarity with NoSQL databases and knowledge of SQL Server. • Experience with batch and streaming data processing. • Knowledge of data quality, security, and governance best practices. • Experience with Git for source code version control. • Knowledge of observability and data pipeline monitoring. • Nice to have: experience with Apache Kafka or Amazon MSK; knowledge of legacy system modernization; experience with Delta Lake, Apache Hudi, or Apache Iceberg; familiarity with dbt, Airflow, and Terraform; experience with Lakehouse architectures; experience working with high-volume data environments.

🏖️ Benefits

• Flexible benefits card – choose how and where to use it. • Tuition assistance for undergraduate, graduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance reviews with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Health insurance. • Dental insurance. • Life insurance.