Strong experience designing and building scalable data platforms and pipelinesІнше · Обов’язково
Proven hands-on expertise with AWS services for data engineering and analytics workloadsНавичка · Обов’язково
Proficiency in Python, Scala, or Java, with strong SQL skills for data manipulation and queryingНавичка · Обов’язково
Experience with big data technologies such as Apache Spark, Databricks, or FlinkНавичка · Обов’язково
Practical knowledge of orchestration tools like Apache Airflow or MWAAНавичка · Обов’язково
Experience working with streaming technologies such as Apache Kafka, Amazon MSK, or KinesisНавичка · Обов’язково
Familiarity with data warehousing solutions including Snowflake or Amazon RedshiftНавичка · Обов’язково
Analytical mindset with the ability to translate business needs into technical solutions
Інше · Обов’язково
Upper-intermediate or higher level of English, with effective communication skills in a global environmentМова · Обов’язково
SoftServe is an Equal Opportunity Employer.Інше · Обов’язково
All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.Інше · Обов’язково
Let's put your talents and experience in motion with SoftServe.Інше · Обов’язково
In this role, you will design and help implement scalable data platforms and data processing solutions on AWS. You will work across batch and real-time architectures, contributing to data ingestion, modeling, and analytics capabilities. As part of a collaborative engineering environment, you will partner with technical and business stakeholders to deliver reliable and production-ready solutions.
Responsibilities
Design and implement scalable data pipelines and data platform components on AWS, ensuring reliability, performance, and maintainability
Own end-to-end delivery of data processing solutions, improving data quality, availability, and time-to-insight across use cases
Collaborate closely with engineers, architects, and business stakeholders to translate requirements into robust technical designs
Build and maintain batch and streaming data processing architectures using modern big data frameworks
Develop and manage data ingestion processes, including source-to-target mappings and onboarding new data sources
Orchestrate workflows using Apache Airflow or MWAA, ensuring efficient scheduling, monitoring, and error handling
Implement real-time data solutions using Apache Kafka, Amazon MSK, or Kinesis to support streaming use cases
Contribute to data warehousing and analytics solutions using Snowflake or Amazon Redshift, and maintain documentation and data models
Requirements
Strong experience designing and building scalable data platforms and pipelines
Proven hands-on expertise with AWS services for data engineering and analytics workloads
Proficiency in Python, Scala, or Java, with strong SQL skills for data manipulation and querying
Experience with big data technologies such as Apache Spark, Databricks, or Flink
Practical knowledge of orchestration tools like Apache Airflow or MWAA
Experience working with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis
Familiarity with data warehousing solutions including Snowflake or Amazon Redshift
Analytical mindset with the ability to translate business needs into technical solutions
Upper-intermediate or higher level of English, with effective communication skills in a global environment
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.