1 to 25 of 148 Apache Jobs

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 ...

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 ...

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 ...

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. ...

lakehouse and datalake architectures Familiarity with modern data engineering patterns (ETL/ELT, medallion architecture, observability) Excellent Python and SQL skills 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. ...

have strong Python backend software engineer skills You have experience working with large data sets You have experience of using PySpark and ideally also Apache Spark You believe in automating wherever possible You're a collaborative problem solver with great communication skills Other technology in the stack includes: FastAPI ...

development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. Flink, Hadoop, Beam) Familiarity with Databricks as a data and AI platform or the Lakehouse ...

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 ...

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 ...

Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes ...

Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in the likes ...

software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). • Experience with Apache Spark or any other distributed data programming frameworks. • Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. • Experience with cloud ...

code Proficiency in programming languages such as Python, Spark, SQL Strong experience with SQL databases Expertise in data pipeline and workflow management tools (e.g., Apache Airflow, ADF) Experience with cloud platforms (Azure preferred) and related data services Excellent problem-solving skills and attention to detail Inclusive and curious, continuously ...

Oracle databases. Extensive experience coding in Python. Understanding of ETL processes and data pipeline design. Familiar with data lakes and their architecture. Experience with Apache Airflow (MWAA) for workflow management. Experience with AWS Athena/PySpark (Glue) for data querying and processing. Proficient in SQL with experience in both ...

understanding of data governance and regulatory compliance frameworks such asPCI-DSS, GDPR, SOX, and CPRA. Bonus: Experience with Lakehouse technologies such as Delta Lake, Apache Iceberg, or Hudi. Daily Duties: Design, develop, and maintain scalable data pipelines that support enterprise reporting, regulatory compliance, and analytics. Implement data validation frameworks ...

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 ...

Oracle, and REST APIs. Advanced proficiency in Python, with a strong background in writing robust, tested application code. Hands-on experience with Databricks, Apache Spark, and AWS cloud services (e.g. S3, Kafka, Batch) and implementing Infrastructure as Code. Demonstrated experience designing and implementing CI/CD practices for data ...

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. ...

governance, and compliance in AWS Required Skills & Experience Strong experience in Python for data engineering and pipeline development Hands-on experience with PySpark/Apache Spark Advanced proficiency in SQL (query optimization, window functions, CTEs) Experience with AWS data warehousing tools, including: o Amazon Redshift & RDS o AWS Glue ...

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 ...

NumPy, Flask, Streamlit, SHAP, Lime, PyIceberg, Matplotlib, Seaborn, Plotly) SQL, Graph stores (e.g. Neo4J) Containers (e.g. Docker) Data bases/Data Lakes (e.g. PostgreSQL, Apache Iceberg, Databricks, Azure Fabric etc.) AWS (CDK/Python, Bedrock, Sagemaker) or similar cloud toolset experience ...

batch processing. ### Key Responsibilities - Build and maintain data pipelines using PySpark and Python. - Develop ETL/ELT workflows, ensuring data quality. - Use Apache Airflow for orchestration. - Implement AWS solutions (Lambda, Redshift, S3). - Manage infrastructure with Terraform. - Create CI/CD pipelines with GitHub Actions. - Optimize Spark jobs ...

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 ...

architectures. Hands‐on experience with Microsoft Fabric (Data Engineering, Data Science and Real‐Time Analytics) and Azure ML , including MLflow. Strong proficiency with Apache Spark, Azure Data Factory, Git, Python and SQL Experience developing, training and deploying machine learning models using TensorFlow, PyTorch or Scikit‐learn. Solid understanding ...