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Data Engineer (Senior) ID40199

Data Engineer (Senior) ID40199

AgileEngineNEUQUEN, Q, ar
Hace 8 días
Tipo de contrato
  • Quick Apply
Descripción del trabajo

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

  • 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.

    • NICE TO HAVES

  • 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.

    • PERKS AND BENEFITS

  • 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.

    • 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; 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.

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    Data Engineer Senior • NEUQUEN, Q, ar