1 to 25 of 46 Remote Apache Spark Jobs

designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives … Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience ...

lead quality assurance and testing activities within a large-scale cloud data engineering programme operating across a modern AWS-native technology ecosystem, including Apache Airflow, Amazon Athena, AWS Glue, S3, EMR, DynamoDB, and related cloud services. This role combines hands-on technical leadership with test strategy ownership . … reconciliation, and performance under load Oversee PySpark-based data validation and interrogation activities on AWS EMR Support testing and monitoring of workflows orchestrated through Apache Airflow Drive root cause analysis for production data issues and platform defects Risk Management & Reporting Identify, assess, and communicate quality risks across releases ...

strategic thinking. Essential Skills & Experience Strong Microsoft Fabric expertise (Lakehouse, Warehouse, Pipelines, Notebooks) OneLake architecture and management Advanced SQL/T-SQL PySpark and Spark optimisation Data warehousing, modelling and ETL/ELT development Power BI semantic modelling Experience delivering enterprise cloud data platforms Experience integrating multiple business systems ...

Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit‐learn). Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment. Ideally having understanding and practical experience ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

data models and ETL processes, to support the construction of scalable and efficient data systems. Familiarity with big data tools like DuckDB, Polars or Apache Spark for processing out-of-memory datasets" . Proven experience collaborating with first-team stakeholders within a professional sports environment, demonstrating strong interpersonal ...

prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities ...

What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement ...

Oracle). Comprehensive knowledge of European and international gas and power markets, covering physical and financial trading, forward/futures/options, basis risk, spark and dark spreads, gas balancing, power scheduling, nominations, LNG and cross-commodity optimisation. Proven track record of defining and delivering enterprise-level architecture ...

sophisticated proofs‐of‐concept and public cloud platform(s). Coding expertise in a core programming language (Python, Java, Scala). Foundational understanding of Apache Spark architecture is preferable; hands‐on skills will be advantageous. Key Notes for the role: Location for the role needs to be within ...

concept and public cloud platform(s). Coding expertise in a core programming language (i.e., Python, Java, Scala). A foundational understanding of Apache Spark architecture is preferable; hands‐on skills will be advantageous for the role. We will be testing your ability to utilise AI‐assisted tools ...

multidisciplinary team to support and enhance over 70 active BI products. What You'll Bring Essential Skills & Experience: Core Technologies: Azure Databricks (or similar Spark-based platforms) and Azure Data Factory (ADF). Languages: SQL and Python. Data Platforms: Azure Data Lake and SQL Server RDBMS. ETL Tools ...

Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA/Test Specialists Ensure ...

Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA/Test Specialists Ensure ...

Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA/Test Specialists Ensure ...

Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA/Test Specialists Ensure ...

resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level … Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

collection systems using Scala and Java. Apply sound engineering principles such as test-driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas ...

collection systems using Scala and Java. Apply sound engineering principles such as test-driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas ...

collection systems using Scala and Java. Apply sound engineering principles such as test-driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas ...

collection systems using Scala and Java. Apply sound engineering principles such as test-driven development and modular design. Preferred Background Hands-on experience with Spark and Scala in commercial environments. Familiarity with Java and Python. Exposure to distributed data systems and cloud storage platforms. Experience designing data schemas ...

source models or integrating with managed foundation model platforms. Hands-on experience building data pipelines and model workflows using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding ...

ownership.Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems.Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka.Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices.Familiarity with metadata management and data catalog tools (e.g.DataHub ...

including data modelling, DAX and semantic model design Hands-on experience with Microsoft Fabric, particularly lakehouse architecture, notebooks and data pipelines Strong understanding of Apache Spark/PySpark and large-scale data processing Experience designing and operating modern data platforms Experience developing or enabling AI and machine learning ...