Key skills

Java 8/11/17Spring BootSQLRelational databasesNoSQL databasesREST APIsLinux/UnixGitAgile/ScrumApache SparkHadoopApache FlinkApache KafkaApache AirflowData lakesData warehousesDockerKubernetesCI/CD pipelinesPostgreSQLMySQLOracleSQL ServerMongoDBCassandraRedisAWSAWS S3AWS EMRAWS GlueAWS RedshiftAWS LambdaMicrosoft AzureAzure Data FactoryAzure SynapseAzure Blob StorageGoogle Cloud PlatformBigQueryDataflowCloud StorageSnowflakeJenkinsGitHub ActionsAzure DevOpsGitHubGitLabBitbucketSplunkELK StackGrafanaPrometheusJavaNoSQLMachine LearningETLELTData EngineeringAnalyticsBusiness IntelligenceDatabricksSparkKafkaAirflowdbtSpringAzureGCPTerraformOAuthJWTRESTfulVersion ControlAgileScrumCI/CD

About this role

OVA.Work is seeking a highly motivated Java Data Engineer to design, develop, and maintain scalable data pipelines and distributed data processing systems. The role involves collaborating with data scientists and software engineers to build robust data solutions that enable analytics and business intelligence.

Responsibilities:

Design, develop, and maintain scalable data pipelines using Java
Build and optimize ETL/ELT workflows for processing large datasets
Develop high-performance data ingestion, transformation, and integration solutions
Design and maintain distributed data processing applications using Spark or Hadoop
Develop RESTful APIs for data services and integrations
Optimize SQL queries and database performance
Implement data quality, validation, and monitoring processes
Collaborate with cross-functional teams to understand business data requirements
Troubleshoot production data issues and optimize pipeline performance
Ensure data security, governance, and compliance standards are followed
Participate in Agile development, code reviews, and architecture discussions
Maintain technical documentation and best practices

Requirements:

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
3+ years of experience in Java development
Experience with data engineering or ETL development
Strong proficiency in Java (Java 8/11/17)
Experience with Spring Boot
Strong SQL and database design skills
Experience working with relational and NoSQL databases
Experience building REST APIs
Familiarity with Linux/Unix environments
Experience with Git and version control
Knowledge of Agile/Scrum methodologies
Experience with Apache Spark, Hadoop, or Apache Flink
Knowledge of Kafka or other messaging platforms
Experience with cloud platforms (AWS, Azure, or GCP)
Experience with data lakes and data warehouses
Familiarity with containerization using Docker and Kubernetes
Experience with Airflow or workflow orchestration tools
Knowledge of data modeling and dimensional modeling
Experience with CI/CD pipelines
Experience building enterprise-scale data platforms
Experience processing structured and unstructured data
Knowledge of streaming data architectures
Experience optimizing large-scale data pipelines
Familiarity with data governance and security practices
Experience working in Agile development teams
Apache Beam
Delta Lake
Databricks
Iceberg
Hudi
Terraform
dbt
OAuth/JWT Authentication
Microservices Architecture
Event-Driven Architecture
Machine Learning data pipelines
Real-time analytics platforms