SoftserveActive opening

Senior Big Data Software Engineer (AWS + Databricks)

Remote (Latin America)Found today
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  • Strong experience in Big Data, Data Engineering, or related fields, with 5+ years of professional experience

  • Strong proficiency in Python and SQL, with Java experience considered a plus

  • Strong hands-on experience with Apache Spark, distributed data processing, and Databricks

  • Solid experience developing data solutions on AWS using services such as AWS Glue, Amazon Athena, and Amazon Aurora

  • Practical experience working with relational databases such as PostgreSQL and MySQL

  • Familiarity with workflow orchestration technologies such as Apache Airflow and streaming technologies such as Apache Kafka

  • Solid experience with CI/CD, version control, and Infrastructure as Code using Terraform or similar technologies

  • Familiarity with GenAI, MLOps, machine learning workflows, or AI platform integrations is considered a plus

  • Upper-intermediate or higher English proficiency for collaboration across teams

  • Design, develop, and maintain scalable batch and distributed data processing pipelines to support reliable data processing and integration

  • Build and optimize data processing solutions, taking ownership of performance, reliability, scalability, and cost efficiency across data pipelines

  • Collaborate with engineering, AI, and product teams to understand requirements and support analytics, automation, and AI-enabled use cases

  • Develop data solutions using Python, SQL, Apache Spark, Databricks, and AWS services such as AWS Glue, Amazon Athena, and Amazon Aurora

  • Work with relational databases such as PostgreSQL and MySQL to support data processing and integration workflows

  • Develop and maintain workflow orchestration using technologies such as Apache Airflow and contribute to reliable data processing workflows

  • Contribute to CI/CD, Infrastructure as Code, testing, troubleshooting, and production support activities using Terraform or similar technologies

  • Participate in architecture discussions and contribute to the continuous improvement of data platforms and engineering practices

  • SoftServe University: Access continuous learning opportunities, certification support, and leadership development programs to grow your skills and advance your career

  • Medical insurance: Health coverage for you and your family

  • Food vouchers: Additional support for your everyday expenses

  • Extra days off: Enjoy additional time off to rest, recharge, and maintain a healthy work-life balance

  • Dare to Care: Our holistic well-being program, designed to support your overall wellness

  • Anniversary Program: Celebrating your milestones and recognizing your journey with SoftServe

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SoftserveSenior Big Data Software Engineer (AWS + Databricks)
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