Senior AI Data Software Engineer
EPAM Systems (Poland) sp. z o.o.
⚲ Kraków, Grzegórzki
Do uzgodnienia
Wymagania
- Python
- Spark
- Databricks
- Microsoft Azure
- AWS
- Google Cloud Platform
- SQL
- MongoDB
- Claude Code
- Github Copilot
- Cursor
- Kafka
- Solr
- OpenSearch
- Lucene
- Scala
- Java
Opis stanowiska
Nasze wymagania:
4+ years experience in software development with Data Software Engineering technologies
Advanced knowledge of Python
Proficient with Spark and Databricks
Experience with cloud platforms such as Azure, Amazon Web Services, Google Cloud Platform
Experience with and confidence in using AI development tools eg. Claude Code, Github Copilot, Cursor
Strong understanding of different data file formats like JSON, Parquet, Avro
Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB
Proficiency in data warehousing solutions, ETL processes
Bachelor’s degree in Computer Science, Mathematics or related technical field
Detail-oriented with excellent analytical and problem-solving skills
Knowledge of software development methodologies and best practices
Exceptional oral and written communication skills in English (B2+)
Mile widziane:
Preferred experience with message queues, specifically Kafka, and working with large data transfer applications/middleware
Production experience in search technologies such as Solr, OpenSearch, or Lucene is highly advantageous
Knowledge of Scala or Java
O projekcie:
We are looking for a Senior AI Data Software Engineer to join our Data Competency Center and make our team even stronger. The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities.
We are providing our services to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.
Zakres obowiązków:
Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
Research and utilize Data Software Engineering technologies for effective data ingestion
Process and transform data using tools such as Spark, Databricks and various Cloud Services
Participate of next waves of AI Adoption – implement agentic development environments
Understand and execute project-specific business logic through programming languages supported by the primary data platform
Optimize data retrieval, develop dashboards, and perform data validation
Collaborate with diverse teams including data scientists, analysts, and IT professionals
Provide thought leadership on Data Software Engineering best practices and technology trends
Maintain and ensure integrity and security of data sources and platforms
Perform troubleshooting, debugging, and upgrading of data systems and applications
Oferujemy:
Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English language classes
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package (health insurance, multisport, shopping vouchers)
Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
Referral bonuses
Corporate, social and well-being events
4+ years experience in software development with Data Software Engineering technologies
Advanced knowledge of Python
Proficient with Spark and Databricks
Experience with cloud platforms such as Azure, Amazon Web Services, Google Cloud Platform
Experience with and confidence in using AI development tools eg. Claude Code, Github Copilot, Cursor
Strong understanding of different data file formats like JSON, Parquet, Avro
Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB
Proficiency in data warehousing solutions, ETL processes
Bachelor’s degree in Computer Science, Mathematics or related technical field
Detail-oriented with excellent analytical and problem-solving skills
Knowledge of software development methodologies and best practices
Exceptional oral and written communication skills in English (B2+)
Mile widziane:
Preferred experience with message queues, specifically Kafka, and working with large data transfer applications/middleware
Production experience in search technologies such as Solr, OpenSearch, or Lucene is highly advantageous
Knowledge of Scala or Java
O projekcie:
We are looking for a Senior AI Data Software Engineer to join our Data Competency Center and make our team even stronger. The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities.
We are providing our services to Clients in different domains: Financial, Health Care, Insurance and many others, so you will have a chance to develop yourself in any direction you want.
Zakres obowiązków:
Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
Research and utilize Data Software Engineering technologies for effective data ingestion
Process and transform data using tools such as Spark, Databricks and various Cloud Services
Participate of next waves of AI Adoption – implement agentic development environments
Understand and execute project-specific business logic through programming languages supported by the primary data platform
Optimize data retrieval, develop dashboards, and perform data validation
Collaborate with diverse teams including data scientists, analysts, and IT professionals
Provide thought leadership on Data Software Engineering best practices and technology trends
Maintain and ensure integrity and security of data sources and platforms
Perform troubleshooting, debugging, and upgrading of data systems and applications
Oferujemy:
Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English language classes
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package (health insurance, multisport, shopping vouchers)
Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
Referral bonuses
Corporate, social and well-being events
🔍 Dekoder Ogłoszenia
🔴
The projects and technologies we are working with are very diverse and cover all technologies currently present on the market and represented by open-source communities.
Może oznaczać pracę z wieloma różnymi, często niepowiązanymi technologiami, co wymaga ciągłego uczenia się i adaptacji, a niekoniecznie głębokiej specjalizacji.
🟡
make our team even stronger.
Oznacza, że zespół może być w fazie rozwoju lub ma pewne braki, które mają zostać uzupełnione przez nowego pracownika.
🔴
We are providing our services to Clients in different domains: Fi
Fragment jest niekompletny, co może sugerować pośpiech w tworzeniu ogłoszenia lub brak doprecyzowania, w jakich konkretnie branżach będą świadczone usługi.
🟡
Experience with and confidence in using AI development tools eg. Claude Code, Github Copilot, Cursor
Podkreślenie 'confidence' może sugerować, że oczekuje się nie tylko znajomości narzędzi, ale także umiejętności ich efektywnego wykorzystania w praktyce, co może być trudniejsze niż samo ich poznanie.