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Data Engineer (Senior) ID40199
AgileEngineCuritiba, PR, brHá 23 dias
Tipo de vaga
- Quick Apply
Descrição da vagaBachelor’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; Excellent problem-solving skills and ability to work in fast-paced environments; Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil / ART time), Upper-Intermediate English level. Experience with real-time data streaming platforms (Kafka, Kinesis, Flink). Knowledge of containerization and orchestration (Docker, Kubernetes). Familiarity with data governance, lineage, and catalog tools. Previous leadership or mentoring experience. Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation : We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects : Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime : Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. 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; - Excellent problem-solving skills and ability to work in fast-paced environments; - Ability to work German TimeZone (~6 - 7 am to ~ 2-3 pm Brazil / ART time), - Upper-Intermediate English level.
Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI / ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.
WHAT YOU WILL DO
- Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
- Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
- Implement best practices for data governance, security, and compliance.
- Monitor, troubleshoot, and improve the performance of data systems and pipelines.
- Mentor junior engineers and contribute to building a culture of technical excellence.
- Evaluate and recommend new tools, frameworks, and approaches for data engineering.
MUST HAVES
NICE TO HAVES
PERKS AND BENEFITS
Requirements
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