1 to 25 of 1,458 Scala Jobs

s degree in Computer Science, Information Technology, Data Engineering, or a related field Technical Skills: Proficiency in programming languages such as Python, Java, or Scala for data processing. Strong knowledge of SQL and relational databases (e.g., MySQL, PostgreSQL, MS SQL Server). Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase More ❯

Ability to write clean, scalable, maintainable code in Python with a good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala, Java, C#, C++ are an advantage. Proven record of building and maintaining data pipelines deployed in at least one of the big 3 cloud ML More ❯

big data processing Strong knowledge of open banking frameworks, protocols, and APIs (e.g. Open Banking UK, PSD2) Proficiency in programming languages such as Python, Scala, or Java Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems More ❯

using python or similar programming languages. Background in software engineering a plus. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

a related field Proven experience as a Data Engineer or in a similar role Strong programming skills in languages such as Python, Java, or Scala Experience with data integration and ETL tools, such as Apache Spark, Apache Kafka, or Talend Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or More ❯

modern data pipelines and ETL (extract, transform, load) processes using tools such as Apache Kafka and Apache Nifi Proficient in programming languages like Java, Scala, or Python Experience or expertise using, managing, and/or testing API Gateway tools and Rest APIs Experience in traditional database and data warehouse products More ❯

Experience with cloud-based data platforms (AWS, Azure, GCP) Proficiency in data orchestration tools (Airflow, Prefect, Dagster, or similar) Solid programming skills in Python, Scala, or Java Experience integrating ML workflows into production data systems Strong understanding of data modeling, ETL processes, and database design Demonstrated ability to architect solutions More ❯

tools. Deep understanding of DevOps principles, data warehousing, data modeling, and data integration patterns. Proficient in one or more programming languages such as Python, Scala, or Java, alongside SQL and NoSQL database experience. Knowledge of data quality assurance techniques and governance frameworks. Excellent analytical, problem-solving, and communication skills. Desirable More ❯

Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools like Apache Kafka and Apache Nifi. Proficiency in Java, Scala, or Python programming. Experience managing or testing API Gateway tools and Rest APIs. Knowledge of traditional databases like Oracle, MySQL, etc., and modern data management More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯