1 to 25 of 48 Permanent Flink Jobs

processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) \n Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience ...

infrastructure \n\n Preferred qualifications, capabilities, and skills \n \n Data modeling skills \n Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) \n Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines \n Experience with lakehouse patterns and table ...

Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar) Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines Experience with lakehouse patterns and table formats (e.g. ...

distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience ...

that power intelligent decision making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real time streaming pipelines and event driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using … engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software ...

decision‐making.\ N \nKey Responsibilities\ N \nDataPipeline Development\ N\n\nBuild, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark.\ N\n\nDevelop and support real‐time streaming pipelines and event‐driven integrations.\ N\n\nIntegrate data from multiple sources (streaming … nCore Data Engineering\ N\n\nStrong programming proficiency in Java (preferred) or Python.\ N\n\nHands-onexperience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming).\ N\n\nSolid understanding of stream processing concepts (e.G., event time, state, backpressure). ...

platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data ...

platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data ...

nStrong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL).\n \n \nProficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).\n \n \nDeep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.\n \n \nStrong programming skills in Python ...

nStrong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL).\ N\n\nProficiency in distributed data processing frameworks (e.G., Spark, Flink, Hadoop).\ N\n\nDeep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services.\ N\n\nStrong programming skills in Python ...

cloud-based data infrastructure\ N\nPreferred qualifications, capabilities, and skills\ N\nData modeling skills\ NExperience with datastreaming and scalable processing frameworks (e.G., Spark, Flink, Beam, or similar)\ NExperience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines\ NExperience with lakehouse patterns and table formats (e.G., Apache ...

Terraform) for cloud-based data infrastructure Preferred qualifications, capabilities, and skills Data modeling skills Experience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar)Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelinesExperience with lakehouse patterns and table formats (e.g., Apache ...

data processing and performance tuning\ NHands-on experience with modern data warehousing/lakehouse technologies (e.G., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)\ NStrong SQL skills and experience with SQL-based transformation tooling (e.G., dbt)\ NExperience ...

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.\n \n \nProficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).\n \n \nExperience with API management and gateway tools and services.\n \n \nExperience of RESTful APIs for ingesting and exposing data. ...

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.\ N\n\nProficiency in distributed data processing frameworks (e.G., Spark, Flink, Hadoop).\ N\n\nExperience with API management and gateway tools and services.\ N\n\nExperience of RESTful APIs for ingesting and exposing data. ...

proficiency in SQL. \n Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. \n Solid grasp of Kubernetes, CI/CD and Terraform. \n Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow ...

with proficiency in SQL. Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc. Solid grasp of Kubernetes, CI/CD and Terraform. Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt. ...

platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java, Scala Experience with data modelling , ETL processes, and distributed systems Comfortable working ...

pipelines and source control (GitHub, GitLab, Atlassian) Container platforms including Kubernetes, Docker, EKS or AKS Modern data or event-driven systems (e.g. Kafka, Flink) This is a role suited to someone who enjoys working on complex, security-focused systems and wants to combine hands-on engineering with team leadership ...

with proficiency in SQL.\ NExperience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.\ NSolid grasp of Kubernetes, CI/CD and Terraform.\ NWorking knowledge ofETL and ELT frameworks and orchestration tools like Airflow and dbt.\ NAbility ...

languages like Python or Java along with proficiency in SQL \n Experience working with cloud platforms (e.g., Azure) and big data technologies like Spark, Flink etc., \n Solid grasp of Kubernetes, CI/CD and Terraform \n Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow ...