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data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses and data lakes. Knowledge of DevOps and CI/CD tooling (e.g. ...

Azure, or Google Cloud) including data lakes, warehouses, and lakehouse solutions. Transform and process structured and unstructured data using modern ETL/ELT frameworks (Apache Spark, Airflow, dbt). Collaborate closely with product managers, analysts, and software developers to ensure seamless integration and high-quality data availability. Develop, maintain ...

skills and understanding of modern data engineering principles. Desirable Skills Python and PySpark development. AWS services including EMR, S3, Lambda, Athena, and Redshift. Apache Spark and large-scale batch processing. Terraform, CI/CD pipelines, and Infrastructure as Code. Git/GitLab and modern software development practices. API integration ...

Azure, or GCP). Proficiency in Python and SQL for data manipulation and transformation. Experience with ETL/ELT development and orchestration tools (e.g., Apache Airflow, dbt, Prefect). Knowledge of data modelling, data warehousing, and lakehouse architectures. Familiarity with DevOps practices, CI/CD pipelines, and infrastructure ...

repo and CI/CD workflows (GitHub Actions), with quality gates via SQLFluff and dbt-checkpoint. Build and maintain orchestration on Managed Workflows for Apache Airflow (MWAA/Airflow 3.x), using Cosmos for granular, per-model task observability. Mentor nearshore engineers and contribute to team-wide engineering maturity. What ...

Collaborate with senior developers and quantitative teams on new analytics capabilities Participate in debugging, testing, and production support activities Technology Environment Python Databricks/Apache Spark SQL Pandas/NumPy Git REST APIs Cloud technologies (Azure or AWS) Numerix (or equivalent pricing/risk platform) Jupyter/notebook-based ...

Apache Spark Python AWS Cloud Data Pipelines A hands-on data engineering role within a large-scale cloud data programme, responsible for building, maintaining, and troubleshooting data pipelines using Apache Spark, PySpark, Apache Airflow, and a broad suite of AWS services. You will apply strong analytical … complex, cloud-based data programme - designing, building, and maintaining data pipelines that process large volumes of data across a modern AWS-native stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics ...

analytics and reporting, and contributing to the adoption of AI-powered workflows and automation. Key Responsibilities & Skills: Build and maintain scalable data pipelines using Apache Airflow or similar orchestration tools. Develop integrations with internal and third-party APIs, ensuring reliable and efficient data flows. Design and optimise SQL-based ...

processin g.Cloud Pub/Su b: For real-time messaging and event ingestio n.Cloud Storag e: For scalable and durable object storag e.Cloud Composer (Apache Airflow ): For workflow orchestration and pipeline managemen t.Cloud Datapro c: For managed Hadoop and Spark clusters (good to have ).Cloud SQL/Cloud Spanner ...

range of projects that include internal and external suppliers. Essential Skills Proven experience as a Data Engineer Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience of using programming languages such as Python, Scala and SQL. Demonstrable knowledge of data modelling ...

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 ...

systems. • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. • Exposure to DevOps practices including ...

experience in data engineering or a similar role. Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark or Hadoop. Strong knowledge of SQL and database systems. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving ...

computer science, IT or a related field, or in bioinformatics with a demonstrated IT expertise Experience in big data technologies and frameworks, such as Apache Spark, Hadoop or similar platforms Hands-on experience with CI/CD (GitLab CI/GitHub Actions) Familiarity with Java Familiarity with Google Cloud ...

HTML5, CSS3, SASS Cloud, DevOps & Infrastructure Kubernetes (GKE/IKP/AWS EKS) Docker, Terraform CI/CD: GitHub Actions, Jenkins Messaging, Streaming & ETL Apache Kafka Apache Flink, Apache Beam Redis Databases PostgreSQL Oracle MongoDB Security & Compliance OAuth 2.0, Okta Enterprise security scanning: Checkmarx, Aqua Security Strong ...

HTML5, CSS3, SASS Cloud, DevOps & Infrastructure Kubernetes (GKE/IKP/AWS EKS) Docker, Terraform CI/CD: GitHub Actions, Jenkins Messaging, Streaming & ETL Apache Kafka Apache Flink, Apache Beam Redis Databases PostgreSQL Oracle MongoDB Security & Compliance OAuth 2.0, Okta Enterprise security scanning: Checkmarx, Aqua Security Strong ...

delivery oriented and applies critical thinking to create innovative functions and solve technical issues.Utilize Microsoft Azure services including Azure Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, SQL, stored procedures to develop high performing data pipelines. Not required, but additional education, certifications, and/or experience are a plus ...

Core Java Spring Boot frameworks Proven experience building distributed backend systems Hands-on experience with Kafka (or similar streaming platforms) Experience with Scala and Apache Spark for data processing Integration withbackend services such as: PostgreSQL Redis S3 (or equivalent object storage) Expertise in modern engineering practices, including: Continuous delivery ...

What We're Looking For: Proven experience as a Data Engineer within a cloud-based data environment. Strong hands-on experience with Databricks and Apache Spark. Experience building or improving medallion architecture, including Bronze, Silver and Gold data layers. Strong SQL skills for transformation, validation and data analysis. Python ...

data modelling and processing but focuses on practical ability to implement solutions using a range of technologies and languages including SQL, Python, Databricks, Apache Spark, Lakehouse and various RDBMS. This is a senior, hands-on role. You will develop and support more junior team members whilst working ...

GitHub Exposure to Python tools for scripting, automation, and learning AI concepts (such as Jupyter Notebooks, Pandas, NumPy) Configuring and working with Linux and Apache web servers Configuring and working with Windows and IIS web servers Version control with Git, Bitbucket (or similar version control tools) Additional Qualifications Cloud ...

Labelled property graphs Hypergraph structures Entity resolution Graph schema design Data Engineering & Integration Pipeline Development Data Integration Languages & Tools ETL/ELT pipeline design Apache Kafka Apache Spark AWS Glue dbt Apache Airflow Entity matching and resolution Data lineage tracking Schema mapping Semantic data integration Metadata management ...

strong focus on scalability, resilience, and performance. Develop and optimise scalable data pipelines , supporting both batch and streaming workloads, using technologies such as Apache Spark . Work extensively with data technologies , leveraging Python and SQL to deliver high-quality analytical and data-driven solutions. Lead the design and delivery ...

What We're Looking For: Experience working as a Data Engineer within a modern cloud data environment. Strong hands-on experience with Databricks and Apache Spark. Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture. Strong SQL skills for transformation, validation and analysis. Python ...

with geospatial datasets and technologies, including: Shapefiles GeoParquet GeoPackage GeoTIFF Spatial data processing and transformation techniques Geospatial analytics and data engineering workflows Experience with Apache Sedona or similar geospatial processing frameworks is highly desirable. Role and Responsibilities: Collaborate with stakeholders, product owners and technical teams to understand data requirements ...