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Lead Big Data Engineer + AWS @

2 weeks ago


Remote, Czech Republic SoftServe Full time

IF YOU ARE

  • A seasoned professional, focused on data pipeline creation and comfortable with batch processing and streaming processing
  • Used to leading a team or considering yourself ready to do it
  • Experienced in Python and SQL
  • Skilled in data solutions development within AWS (additional cloud experience is a plus)
  • Confident in Apache Spark, Databricks, Flink, Apache Airflow, MWAA or similar
  • A practitioner of Apache Kafka, MSK, or Kinesis and Amazon Redshift, or Snowflake
  • Willing to learn new skills and adjust to a changing situation quickly to hit the ground running on new projects
  • Skilled in Scala or Java (would be a plus)
  • Possessing a background in AI/ML-related projects and a profound understanding of this domain (not a must but a big plus)
  • An effective communicator, demonstrating fluent speech at the Upper Intermediate+ English level

WE ARE

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our team is passionate innovators working on over 2,000 cutting-edge projects worldwide from the USA and Europe to the Asia-Pacific region.

We are a Big Data & Analytics Center of Excellence, a data consulting and data engineering branch of SoftServe. We are cooperating with a titan in the energy sector, dedicated to innovating and investing in clean energy electrifying across 49 states in North America. Their storied history of corporate responsibility, operational excellence, and relentless innovation has not only earned them widespread recognition but also solidified their commitment to pioneering new technologies in the energy landscape.

SoftServe embarks on this thrilling journey with the client, therefore we are assembling an elite AI and Data Project Team of professionals to drive innovations in the energy and logistics domain. Our team plans to have more than 20 members in the first year, with some based on the East Coast of the USA and others in Warsaw and Wroclaw.

TOGETHER WE WILL

  • Support your technical and personal growth – we have a dedicated career plan for all roles in our company
  • Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Big Data Community
  • Upskill with full access to Udemy learning courses
  • Pass professional certifications, encouraged and covered by the company
  • Assimilate best practices from experts while working in a team of top-notch Engineers and Architect
  • Collaborate with world-leading companies and attend professional events
  • Have a chance to address different business and technology challenges, engage in challenging projects and top-notch technologies, and drive multiple projects and initiatives as a part of the Center of Excellence
,[Visit the client's office in Florida, USA, Collaborate with the team of data-focused engineers who specialize in ML, ML/Ops, Analytical AI, GenAI, large data engineering efforts, and AWS, Work on a project that involves potentially such languages and technologies as vector embeddings Python, AWS Glue, RedShift, DynamoDB, Neo4j, or Elastic, Design and implement data pipelines to support AI solutions, meaning moving data between different data storages (Redshift, Aurora, S3, Neo4J) and serving that data to AI models, Lead the data team, responsible for the development of data pipelines and creating solutions like data marts by Aurora and Redshift, use case by use case, eventually pushing that data to DynamoDB, Support customers from all over the world, from huge global corporations to crypto startups that are about to launch their first product, Participate in the entire project lifecycle, from initial design through PoCs and MVP up to the full-scale implementation, Lead data engineering or generic software development teams in the role of Architect or Team Leader, Design and implement Data & Analytics solutions in AWS, Be a customer-facing consultant responsible for eliciting customer requirements, translating them into technical architecture, and presenting your decisions and proposals to a customer] Requirements: Python, SQL, AWS, Apache Spark, Databricks, Flink, Apache Airflow, MWAA, Apache Kafka, MSK, Kinesis, Amazon Redshift, Snowflake, Java, Scala Additionally: Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.