Lead Big Data Engineer (Python + AWS)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

A Software Engineer focused on data pipeline creation and comfortable with batch processing, streaming processing, or both and used to leading a team or considering yourself ready to do it.

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
• Breaking down customer requirements into development tasks, estimation, leading a team of fellow Data Engineers

YOU WANT TO WORK WITH

• Helping customers meet the goals of their analytics initiatives
• Design, implementation, or migration of data platforms and ETL pipelines implemented as a code
• The cutting-edge technology stack, including major cloud providers' services 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

• The team of data-focused engineers who learn, improve, and share the knowledge day by day
• 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

Your benefits

• Unlimited upskill opportunities with full access to Udemy learning courses
• Professional certifications, encouraged and covered by the company
• Assimilating best practices from experts, working in a team of top-notch Architects
• Chance to address different business and technology challenges, drive multiple projects and initiatives as being a part of the Center of Excellence
• Attending and giving speeches at international events
• A variety of projects to join