Senior Data Software Engineer

We are looking for a Senior Data Software Engineer to join a growing Data Practice.

Projects and technologies are diverse, covering technologies represented by open-source communities. Services are delivered to clients across Financial, Health Care, Insurance, and other domains, offering opportunities to develop in different directions.

Quick Facts

• Hybrid-by-design work model and opportunity to work remotely within Poland
• Opportunity to work abroad for up to 60 days annually
• Business-driven relocation opportunities
• Open to working with contractors; B2B agreement terms are agreed individually
• Listed benefits are available to employees only
• Only selected candidates will be contacted

Responsibilities

• Implement data ingestion from diverse sources, including RDBMS, REST HTTP APIs, flat files, streams, time-series data, and SAP
• Research and use Big Data technologies for effective data ingestion
• Process and transform data using Spark and cloud services
• Understand and execute project-specific business logic using languages supported by the primary data platform
• Optimize data retrieval, develop dashboards, and perform data validation
• Collaborate with data scientists, analysts, and IT professionals
• Provide thought leadership on Big Data best practices and technology trends
• Maintain the integrity and security of big-data sources and platforms
• Troubleshoot, debug, and upgrade big-data systems and applications

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field
• 5+ years of software development experience with Big Data technologies
• Advanced knowledge of Python, Scala, or Java
• Proficiency with Spark and Databricks and/or Snowflake
• Experience with Azure, Google Cloud Platform, or Amazon Web Services
• Demonstrated experience with big-data models, databases, and tools
• Strong understanding of JSON, Parquet, and Avro file formats
• Hands-on experience with SQL and NoSQL databases, including Cassandra and MongoDB
• Proficiency in data warehousing solutions and ETL processes
• Ability to work in a fast-paced, team-oriented environment
• Strong analytical and problem-solving skills and attention to detail
• Knowledge of software development methodologies and best practices
• Exceptional written and spoken English communication skills at B2+ level

Nice to Have

• Experience with Hadoop, Spark, Kafka, Oozie, Airflow, HDFS, and YARN
• Experience with message queues, especially Kafka
• Production experience with Solr, OpenSearch, or Lucene

Benefits

• Career development programs
• Thought leadership, mentoring, soft-skills, and well-being programs
• Certification opportunities: Anthropic, Gemini, GCP, Azure, and AWS
• English classes
• Stable pay
• Employee Stock Purchase Plan with a 15% discount
• Benefits package, including health insurance, Multisport, and shopping vouchers
• Referral bonuses up to $2,000
• Offices with entertainment and relaxation zones, table tennis, football, free snacks, and coffee
• Corporate, social, and well-being events