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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 ...

design, scalability, and clean coding practices. Familiarity with application monitoring solutions Data Engineering 5+ years building scalable and reliable data pipelines using Databricks and Apache Spark. We need both. Experience with cloud data warehouse/data lake architectures and tooling. Experience building solutions using cloud providers, preferably Azure ...

data engineering roles Strong experience working with Snowflake and Oracle Solid engineering background in Java and/or Python Hands-on experience with Apache Spark (Java or Scala) Experience with AWS , including EMR and other core services Exposure to Docker and Kubernetes (EKS) Proven experience building scalable ETL pipelines ...

however Azure exposure is essential. Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security. Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular ...

however Azure exposure is essential. Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security. Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular ...

Solid understanding of data warehousing, lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Experience working with Apache Spark and large-scale data processing For a full consultation on this exciting new role, please get in touch with ARC IT Recruitment today. ...

platform, features, and best practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such ...

experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design and data orchestration, specifically with Apache Airflow. SQL Mastery: Strong SQL skills with significant experience in query tuning and performance optimisation. Programming Proficiency: Proficiency in Python and Bash (for data ...

platform, features, and best practices with Strong understanding of data modeling principles and techniques A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python, R, or Java is beneficial. Knowledge of ETL/ELT processes (such ...

experience in cloud-based data services. Proficiency in SQL and Python for data manipulation and transformation. Experience with modern data engineering tools, including Apache Spark, Kafka, and Airflow. Strong understanding of data modelling, schema design, and data warehousing concepts. Familiarity with data governance, privacy, and compliance frameworks (e.g., GDPR ...

Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving). Strong experience with data processing frameworks (e.g., Apache Spark, Flink). Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g. ...

PostgreSQL, MySQL) Strong knowledge of data warehouse, data lake, and lakehouse architectures Experience with ETL/ELT frameworks and orchestration tools (e.g. Informatica, Talend, Apache Airflow) Proven experience establishing and maintaining data governance frameworks Strong understanding of data security, access controls, and compliance requirements Excellent problem-solving, communication ...

Oracle, SQL Server, PostgreSQL, MySQL). Knowledge of data warehouse and lakehouse architectures. Familiarity with ETL/ELT and orchestration tools (e.g., Informatica, Talend, Apache Airflow). Experience establishing and maintaining data governance frameworks. Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication ...

Charity Volunteer Days Cycle to work scheme And More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake ...

Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks ...

Infra tooling using Terraform, Ansible and Jenkins whilst automating everything with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks ...

individuals’ desires and capabilities. Essential Skills Proven experience as a Data Architect (or similar/related role) Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience with Big Data Experience with Enterprise level Data sets Experience of using programming languages such ...

data stack (Glue, OpenSearch, RDS) Expert skills within SQL with experience in both transactional RDBMS systems and distributed systems Hands-on with Lakehouse technologies (Apache Iceberg, S3 Tables, StarRocks) Strong grasp of data governance, schema design, and quality frameworks Comfortable leading infrastructure decisions and collaborating across distributed teams This ...

using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format Schema evolution, partitioning, compaction & metadata management Query performance tuning with Athena & Redshift Spectrum Redshift Expertise: Data modeling, distribution styles, sort keys ...

technologies (NoSQL, time-series databases) and deep competence in data modeling principles. Workflow Orchestration: Strong working knowledge of industry-standard data orchestration tools (e.g., Apache Airflow or Kubernetes). The Environment We are seeking a highly collaborative professional with strong problem-solving skills, capable of thriving in a fast ...

Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar) Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt Familiarity with recommender systems, transformers, or graph neural networks Exposure to model optimisation techniques (quantisation, distillation, efficient inference) What ...

Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar) Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt Familiarity with recommender systems, transformers, or graph neural networks Exposure to model optimisation techniques (quantisation, distillation, efficient inference) What ...

Agile Development using SCRUM. Experience of Oracle/Relational Databases and/or Mongo. Experience of GitLab CI/CD Pipelines. Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Experience of Hibernate. Experience of AWS Services such ...

Agile Development using SCRUM. Experience of Oracle/Relational Databases and/or Mongo. Experience of GitLab CI/CD Pipelines. Experience of Apache NiFi. Experience in the use of Atlassian Suite - Bitbucket, Jira, Confluence. Experience of Elasticsearch and Kibana. Experience of Hibernate. Experience of AWS Services such ...

serving platforms such as BentoML, MLflow, or SageMaker . Hands-on work with streaming and batch data pipelines using tools like Spark, Airflow, or Apache Beam . Background in front-end or mobile development , enabling end-to-end solution thinking. Prior experience in healthcare, life sciences, or regulated industries ...