1 to 25 of 54 Remote Apache Spark Jobs

Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives.. This is a hands-on leadership role combining technical delivery, solution … Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark/PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. ...

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. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design … 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 ...

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 ...

data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data … Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark/PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS/Azure/ ...

Data Engineering \n \n \nStrong programming proficiency in Java (preferred) or Python.\n \n \nHands-on experience 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).\n \n \nUnderstanding ...

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 engineering best ...

advance with Strong proficiency with data pipeline development in Python, Java, or Scala. A minimum of 3 years' experience with modern data frameworks (Spark, Kafka, Flink, dbt, or equivalent). A minimum of 3 years' experience with SQL and NoSQL databases and data modeling principles. Proven Ability to optimize ...

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 create ...

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

considering: We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and lakehouse solutions … time. Your Role: Design, develop, and maintain scalable data pipelines using Databricks on AWS. Build and optimize data processing frameworks using PySpark, Spark SQL, Python, Delta Lake, and Databricks notebooks. Develop end-to-end ETL/ELT pipelines for ingestion, transformation, validation, and consumption. Work with AWS services such ...

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 ...

with 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 ...

along 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 ...

environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data ...

houses and data mesh \n Strong understanding of best practice DataOps and MLOps \n Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop \n Strong understanding of agile ways of working \n Up-to-date understanding of various programming languages including Python ...

data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala ...

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 ...

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 ...

environments\ NOwning the cloud infrastructure underpinning data systems through a DevOps approach\ NKnowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop\ NGood understanding of the possible architectures involved in modern data system design (e.G. Data Warehouse, Data Lakes and Data ...

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 ...

along 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. ...

with Azure Cosmos DB, including query optimization, throughput management, and performance tuning. Thorough understanding of Cosmos DB Change Data Feed (CDF) and integration with Spark-based solutions. Experience working with Cosmos DB SDKs in technologies such as .NET, Java, Python, or Node.js. Strong understanding of distributed computing concepts … Apache Spark architecture. Hands-on experience developing data pipelines using PySpark. Experience with Pytest and automated testing frameworks. Strong understanding of partitioning, indexing strategies, and consistency models within Cosmos DB. Experience building scalable applications and working with concurrency patterns. Experience with Git, version control systems, and CI/ ...

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 ...