Senior Data Software Engineer
Коротко
Owns data engineering solutions using Python, Spark, Databricks, Snowflake, SQL, Cassandra, MongoDB
Описание от работодателя
Required skills: Python, Spark, Databricks, Snowflake, SQL, Cassandra, MongoDB
We are looking for a Senior Data Software Engineer to join our growing Data Practice and make our team even stronger.
Our projects and technologies are very diverse and cover all technologies currently on the market and represented by open-source communities.
We are providing our service 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.
Responsibilities
Implement data ingestion from diverse sources utilizing technologies including RDBMS, REST HTTP API, flat files, Streams, Time series data, SAP
Research and utilize Big Data technologies for effective data ingestion
Process and transform data using tools such as Spark and various Cloud Services
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 Big Data best practices and technology trends
Maintain and ensure integrity and security of big data sources and platforms
Perform troubleshooting, debugging, and upgrading of big data systems and applications
Requirements
Bachelor’s degree in Computer Science, Mathematics or related technical field
5+ years experience in software development with Big Data technologies
Advanced knowledge of Python, Scala, or Java
Proficient with Spark and Databricks and/or Snowflake
Experience with cloud platforms such as Azure, Google Cloud Platform, Amazon Web Services
Demonstrated experience with big data models, databases, and tools
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
Proven ability to work within a fast-paced, team-oriented environment
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+)
Nice to have
Experience with Hadoop, Spark, Kafka, Oozie, Airflow, HDFS, YARN
Experience with message queues, especially Kafka
Production experience in search technologies such as Solr, OpenSearch, or Lucene
We offer
We gather like-minded people:
Top tech minds driving innovation in AI, cloud and digital platform modernization
Supportive team and agile, startup-like culture
Hybrid by design mode and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
We provide growth opportunities:
Career development programs
Thought leadership, mentoring, soft skills and well-being programs
Certification (Anthropic, Gemini, GCP, Azure, AWS)
English classes
We cover it all:
Stable pay
Participation in the Employee Stock Purchase Plan with a 15% discount
Benefits package (health insurance, multisport, shopping vouchers)
Referral bonuses up to $2,000
Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more
Corporate, social and well-being events
Please, note:
Benefits listed above are available to employees only
We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually
We will reach out to selected candidates exclusively
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.