- A seasoned professional, focused on data pipeline creation and comfortable with batch processing, streaming processing, or both
- Used to leading a team or considering yourself ready to do it
- Experienced in Python, Scala, or Java programming languages (at least one) and SQL
- Skilled in data solutions development within AWS
- Confident with Apache Spark, Databricks, Flink, Apache Airflow, or MWAA
- Practiced in Apache Kafka, MSK, or Kinesis and Amazon Redshift or Snowflake
- Familiar with leading a team or being an Architect
- Effective as a communicator, showing Upper Intermediate+ English level
- 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 such languages and technologies as vector embeddings, R, Python, AWS Glue, RedShift, DynamoDB, Neo4j, Elastic, and Milvus for vector stores for AI projects
- 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
- Closely cooperate up to three days a week in our comfortable office located near Rondo ONZ
- Visit the client's office in Florida, USA
- 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
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Big Data Lead/Architect - Warsaw, Polska - SoftServe
Opis
WE ARE
SoftServe is a global digital solutions company headquartered in Austin, Texas, founded in 1993. Our team are passionate innovators working on over 2,000 cutting-edge projects around the globe from the USA and Europe to the Asia-Pacific region.
Big Data & Analytics Center of Excellence is a data engineering and consulting branch of SoftServe. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like Snowflake, Confluent, Cloudera, Starburst, Collibra, Tableau, and others.
Together with the SEI and Carnegie Mellon University, we adapted ADD and ATAM architecture design methodologies to Big Data needs and invented the Smart Decisions game to promote architecture design best practices in AI and Big Data.
We contribute to our client, a titan in the energy sector who is dedicated to innovating and investing in clean energy electrifying across 49 states in North America. Currently, we are assembling an elite AI and Data Project Team of professionals to drive innovations in the energy and logistics domain. The plan is to have more than 20 members in the first year, with some based on the East Coast of the USA and others in Warsaw.
IF YOU ARE
AND YOU WANT TO
TOGETHER WE WILL
