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Lead Bigdata Engineer - Warsaw, Polska - Softserve
Opis
Technologies-expected : AWS SQL about-project : As Big Data & Analytics Center of Excellence - a data consulting and data engineering branch of Soft Serve – we are looking for a skilled Big Data Lead Engineer who will 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.
responsibilities :
Collaborate with the team of data-focused engineers who specialize in ML, ML/Ops, Analytical AI, Gen AI, large data engineering efforts, and AWS Work on a project that involves such languages and technologies as vector embeddings, R, Python, AWS Glue, Red Shift, Dynamo DB, 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, Neo4 J) and serving that data to AI models Lead data Team responsible for the development of data pipelines, creating solutions like data marts by Aurora and Redshift use case by use case, eventually pushing that data to Dynamo DB Support customers from all over the world, from huge global corporations to crypto startups that are about to launch their first product Attend in the entire project lifecycle, from initial design through Po Cs 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 requirements-expected : A seasoned Data Lead Engineer 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 benefits : sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance flexible working time integration events no dress code extra social benefits
