Senior Data Engineer – AWS

🔥 2 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 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.

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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

• Manage schemas, backups, read replicas, and parameter groups, while developing efficient SQL. • Create queries for SQL and NoSQL databases, selecting the appropriate paradigm for each requirement. • Develop Glue Jobs, configure crawlers, and run Spark Jobs on EMR. • Build Spark/PySpark transformations for reading from and writing to multiple data sources. • Create and query Iceberg/Delta tables using time travel and snapshots. • Optimize Athena queries through partitioning, columnar formats, and workgroups. • Administer data and permissions in Lake Formation. • Create schemas, load data using COPY, develop analytical queries, and administer users in Redshift. • Develop DAGs in Airflow, configure connections, and schedule workflows. • Implement lineage, cataloging, data classification, access controls, schema validation, and versioning. • Implement ElastiCache clusters, cache-aside patterns, and TTLs.

🎯 Requirements

• Senior-level professional working with Data and AWS. • Knowledge of Redis and Memcached, caching concepts, and usage criteria. • Experience with relational databases, RDS, and SQL and NoSQL paradigms. • Knowledge of ETL, AWS Glue, EMR, and distributed processing with Apache Spark. • Experience with ACID in Data Lakes, open formats, Athena, Lake Formation, and data governance. • Knowledge of MPP Data Warehousing and Redshift. • Familiarity with Airflow, DAGs, data lineage, traceability, security, compliance, Lakehouse architecture, and Data Contracts. • Preferred: experience with cache architecture and optimization, connection pooling, Multi-AZ failover, performance tuning, IAM, and encryption. • Preferred: knowledge of access-pattern-oriented modeling, consistency strategies, and query optimization. • Preferred: advanced knowledge of Glue, EMR, Spark, Data Quality, schema evolution, and Iceberg, Delta, and Hudi formats. • Preferred: experience with Athena, Glue Catalog, Lake Formation, granular permissions, and cross-account sharing. • Preferred: advanced knowledge of Redshift, materialized views, workload management, and data sharing. • Preferred: experience developing complex DAGs, MWAA, custom operators, retries, and observability. • Preferred: experience with data governance, lineage, metadata, quality metrics, Data Contracts, and schema registries.

🏖️ Benefits

• Multi-benefit 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 review with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance.