Senior Data Analyst II

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 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

• Organize, collect, and process large volumes of data using ETL tools. • Translate clients’ business objectives into information management and business intelligence strategies. • Maintain data pipelines and ensure secure access to information. • Create and publish metrics and dashboards based on collected data, ensuring quality and integrity. • Contribute to data platform modernization initiatives, focusing on Lakehouse architecture, governance, quality, and readiness for analytics and AI consumption. • Develop dimensional models for use by business teams, dashboards, and reports. • Work across the entire data lifecycle: ingestion, processing, storage, transformation, consumption, and governance.

🎯 Requirements

• Senior-level professional working with Data/AWS. • Experience in data extraction, transformation, and loading using ETL tools, Python, and PySpark. • Experience with AWS Glue, EMR, Athena, SNS, Lambda, Step Functions, S3, Lake Formation, IAM, and CloudWatch. • Knowledge of NoSQL modeling and databases, including MongoDB, DynamoDB, and Hadoop. • Experience with Lakehouse architecture using Apache Iceberg. • Experience with query engines for large data volumes, such as Athena, Trino, Presto, or Spark SQL. • Knowledge of the Parquet and ORC columnar formats. • Knowledge of dimensional modeling. • Experience working with structured, semi-structured, and unstructured data. • Experience performing unit and performance testing. • Knowledge of cloud security best practices, access control, and monitoring. • AWS Certified Cloud Practitioner and AWS Certified Data Engineer certifications are a plus. • Experience with data quality and observability is a plus. • Experience with infrastructure-as-code tools, such as Terraform and CloudWatch, is a plus. • Knowledge of Data Mesh is a plus. • Knowledge of AI applied to data is a plus.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Education scholarships 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. • Medical insurance. • Dental insurance. • Life insurance.