1 to 25 of 46 Permanent Apache Spark Jobs with Hybrid or WFH Options

Profisee), Snowflake Data Integration, Azure Service Bus, Deltalake, BigQuery, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, Azure ML is a plus Experience with … Azure SQL Database, Cosmos DB, NoSQL, MongoDB Experience with Agile, DevOps methodologies Awareness and knowledge of ELT/ETL, DWH, APIs (RESTful), Spark APIs, FTP protocols, SSL, SFTP, PKI (Public Key Infrastructure) and Integration testing Skills and Abilities Knowledge of Python, SQL, SSIS, and Spark languages. Demonstrative ability more »

Senior Scala Developer - Apache Spark - Urgent Requirement Contract Length: 6 Months IR35 status: Inside Location: London - Hybrid working A Senior Scala Developer with experience in Apache Spark is needed for a British consultancy organisation. You will be an integral member of the team providing technical expertise … you will be able to implement ETL pipelines to process, transform, and standardize data from various sources as well as optimise the performance of Spark applications. Work closely with data scientists, software engineers, and machine learning experts to enhance the data platform and contribute to the development of cloud more »

required) Experience with distributed message brokers using Kafka (required) Experience with high speed distributed computing frameworks such as AWS EMR, Hadoop, HDFS, S3, MapReduce, Apache Spark, Apache Hive, Kafka Streams, Apache Flink etc. (required) Experience working with various types of databases like Relational, NoSQL, Object-based more »

delivering moderate-to-complex data flows as part of a development team in collaboration with others. You’ll be confident using technologies such as: Apache Kafka, Apache NiFi, SAS DI Studio, or other data integration platforms. You can implement, deliver, and translate several data models, including unstructured data … and recognised standards to build solutions using various traditional or big data languages such as: SQL, PL/SQL, SAS Macro Language, Python, Scala, Apache Spark, Java, JavaScript etc, using various tools including SAS, Hue (Hive/Impala), Kibana (Elastic Search). Knowledge of data management on Cloud more »

Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands more »

AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional skills: Client-facing more »

and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: Scripting and data extraction via APIs, along with composing SQL queries. Integrating data more »

DataBricks, Azure SQL (Indicative experience = 5yrs+) Build and test processes supporting data extraction, data transformation, data structures, metadata, dependency and workload management. Knowledge on Spark architecture and modern Datawarehouse/Data-Lake/Lakehouse techniques Build transformation tables using SQL. Moderate level knowledge of Python/PySpark or equivalent more »

and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to more »

and able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to more »

Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies more »

Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies more »

quality testing frameworks. Proficiency in Python and familiarity with modern software engineering practices, including 12factor, CI/CD, and Agile methodologies. Deep understanding of Spark (PySpark), Python (Pandas), orchestration software (e.g. Airflow, Prefect) and databases, data lakes and data warehouses. Experience with cloud technologies, particularly AWS Cloud services, with more »

and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis more »

and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis more »

and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis more »

warehousing and ETL frameworks Proficiency in working with relational databases (e.g., Oracle, PostgreSQL), Parquet/Delta files and big data technologies (e.g. Synapse, Hadoop, Spark, Kafka) Experience working with Microsoft Azure and associated data services Strong analytical and data interpretation skills, with the ability to communicate findings to technical more »

tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra • MySQL, SQL Server, Oracle, Snowflake, PostgreSQL and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary more »

Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly Apache Spark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal more »

Bachelor's degree in Computer Science or a related field (Master's degree preferred) Nice to have: experience with LLMs, Vector Databases, AWS EMR, Spark, and Python Our commitment: Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our more »

of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow more »

my client will train you): Knowledge of Microsoft SQL Server and packaged BI tools (SSAS and SSIS). Docker, Kubernetes and cloud computing technologies. Apache Kafka and data streaming. Familiarity with Apache Spark or similar data processing tools. Experience developing and maintaining CICD pipelines, particularly Azure DevOps more »

working in the world of Data Science You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well more »

Skills & Experience At least 10 years experience working with JavaScript or Python/Java Previous experience deploying Software into the Cloud EKS, Docker, Kubernetes Apache Spark or NiFi Microservice architecture experience Experience with AI/ML systems more »

in Computer Science, Engineering (or other related STEM subject) 5+ years experience in data engineering 2+ years in a leadership role. Experience working with Apache Spark, Azure Data Factory and other data pipelines tools. Strong programming skills. Impeccable communication skills. Precise attention to detail. Pioneering attitude. If you more »