Position: Senior Big Data Engineer (Python+AWS)
Company: SoftServe
Experience required: 5y
English level: upper

Starting as a group of 3 enthusiasts back in 2013, almost 200 Data Engineers and Architects nowadays build Data & Analytics end-to-end solutions from strategy through technical design and PoC to full-scale implementation.
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.

YOU ARE
A Software Engineer focused on data pipeline creation and comfortable with batch processing, streaming processing, or both.

Experienced in
SQL and Python, Scala, or Java programming languages (at least one)
Data solutions development in AWS
Apache Spark, Databricks, Flink
Apache Airflow or MWAA
Apache Kafka, MSK, or Kinesis
Amazon Redshift or Snowflake

YOU WANT TO WORK WITH
The team of data-focused engineers who learn, improve, and share the knowledge day by day
The cutting-edge technology stack, including major cloud providers' services that are not generally available yet
Customers from all over the world, from huge global corporations to crypto startups that are about to launch their first product
Entire project lifecycle, from initial design through PoCs and MVP up to the full-scale implementation

TOGETHER WE WILL
Help customers to meet the goals of their analytics initiatives
Implement from scratch or migrate Data Lakes, Big Data platforms, streaming analytics solutions
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 SoftServe Big Data Community