
Senior Data Infrastructure Specialist
Há 7 dias
We are seeking a highly skilled and experienced senior data engineer to lead the development and optimization of high-performance, scalable data infrastructure.
The ideal candidate will design and build large-scale data pipelines and processing systems on AWS, utilizing Hadoop and Spark technologies to drive impactful data initiatives across the organization.
This role requires close collaboration with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering, software engineering, or related roles;
- Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
- Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming);
- Strong SQL skills and experience with relational and NoSQL databases;
- Proficiency in Python, Java, or Scala for data processing and automation;
- Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
- Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
Nice-to-haves:
- Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
- Knowledge of containerization and orchestration (Docker, Kubernetes).
What We Offer:
- Professional growth: mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation packages.
- A selection of exciting projects: projects with modern solutions development and top-tier clients.
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