1 to 25 of 45 Remote Apache Spark Jobs

improve team quality Support production systems and troubleshoot issues Write clean, tested, and maintainable code Tech Stack Python & SQL AWS (EMR, Athena, Lambda) Apache Spark (Scala or PySpark) Big data/distributed processing tools What They’re Looking For Strong experience as a Data Engineer using Python … Experience working with AWS or similar cloud platforms Hands-on experience with Apache Spark Ability to work with large, complex datasets Strong problem-solving and analytical mindset Understanding of CI/CD, testing, and agile development practices Confident communicating with technical and non-technical stakeholders Exposure ...

help other members of the team. · Experience provisioning and managing AWS services using infrastructure as code such as AWS CloudFormation or Terraform. · Understanding of Apache Spark, Apache Trino or other big data and machine learning systems. · Knowledge of Serverless technologies, framework and best practices. · Experience provisioning … managing Apache Airflow. · Exposure to using AI tools to enhance productivity and quality. Why Join RealityMine? At RealityMine, we believe our people are at the heart of everything we do. That’s why we go the extra mile to support every team member to unlock their full potential. Whether ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation ...

with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments. Experience implementing and configuring training simulation ...

keys, sort keys , and workload management. Implement Redshift Spectrum to query data in S3 using external tables. 3. Data Lake & Iceberg Implement and maintain Apache Iceberg tables on AWS for schema evolution and ACID operations. Build Iceberg-based ingestion and transformation pipelines using Glue, EMR, or Spark. Ensure high … data Billing & revenue assurance Build models and pipelines to support network analytics, customer 360, churn prediction, fraud detection , etc. 7. Performance Optimization & Monitoring Tune Spark/Glue jobs for performance and cost. Monitor Redshift/Athena/S3 efficiency and implement best practices. Perform data quality checks and validation ...

Production Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost) Deep Knowledge of Data Warehousing, ETL/ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive) Responsibilities: Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation … Production ML Systems Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam). Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems. Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI. Writing ...

data estate. Deep expertise in Microsoft Azure cloud services - ADF, ADLS, Synapse, Purview. Databricks - Delta Lake architecture, optimisation and advanced data processing. Apache Spark for large-scale distributed computing and performance tuning. Microsoft Fabric - OneLake and DirectLake integration. Azure Synapse Analytics for enterprise-scale data warehousing. Infrastructure ...

/CD platform (Github Actions & Admin), Password/Secret management (hashicorp vault). Strong Data related programming skills SQL/Python/Spark/Scala. Database technologies in relation to Data Warehousing/Data Lake/Lake housing patterns and relevant experience when handling structured and non-structured data ...

analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models ...

experience building and deploying machine learning and AI solutions in production. Hands‐on experience with: Python (PyTorch, TensorFlow, scikit‐learn) Data engineering tools (SQL, Spark, Airflow or similar) LLMs, NLP, and document intelligence (e.g. RAG, embeddings) Experience with cloud platforms (AWS, Azure, or GCP). Understanding of MLOps ...

client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both. • Databricks/Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms … important for assessing and scaling the right approach • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales • ETL/ELT pipeline design — building and maintaining pipelines ...

deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including ...

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 ...

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 ...

Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills ...

proficiency in SQL and database technologies Experience with programming languages such as Python, Java, or Scala Hands-on experience with data pipeline tools (e.g., Apache Airflow, Kafka) Familiarity with cloud platforms (AWS, Azure, Google Cloud) Understanding of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) Strong problem-solving and analytical … skills Preferred Skills Experience with big data technologies (e.g., Hadoop, Spark) Knowledge of data modeling techniques and schema design Familiarity with containerization tools (Docker, Kubernetes) Experience with CI/CD pipelines and DevOps practices Understanding of data security and compliance standards ...

validation (e.g., schema tests, data quality checks) Manage data documentation and lineage within DBT Design and develop scalable data pipelines using Databricks and Apache Spark Build and optimize data workflows for batch and real-time processing Transform and process large datasets using PySpark, SQL, and Delta Lake Implement … terraform enterprise , Snowflake terraform provider knowledge. Snowflake : Snow sight , Python SDK for snowflake , Stage , storage integration , Data marketplace , direct shares , listings , catalog linked database , Apache Iceberg , external tables , Catalog integrations , Snowpipe , external volume , Cortex ai ,privatelink. Airflow : Dag creation , operators , connections , deployment on Kubernetes , Astronomer. We are a Disability ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

Azure or AWS Strong experience designing and delivering data solutions in Databricks Proficient with SQL and Python Experience using Big Data technologies such as Apache Spark or PySpark Great communication skills, effectively participating with Senior Stakeholders Nice to haves: Azure/AWS Data Engineering certifications Databricks certifications What ...

functions Highly proficient coding skills in SQL, Python & PySpark Proven knowledge in at least one of the following big data technologies – HIVE, Hadoop, MongoDB, Spark Experience within the Life Science, Medical Research or Pharmaceutical sector highly advantageous Analytically minded with the ability to solve problems creatively and efficiently Vast ...

least one data-oriented programming language (Python, Scala, or similar) Experience with cloud-based data platforms and big data technologies (eg AWS, Spark, Hadoop, or equivalent) Ability to lead delivery on complex, multi-story work streams with minimal oversight Experience working in Agile teams, collaborating with Product Owners ...

support Workflow orchestration (Airflow or Dagster) AWS data services (Athena, S3, MWAA, Iceberg) Data quality monitoring & incident management Nice to Have: Airbyte DBT Apache Spark Grafana FTP/data distribution platforms Financial data experience ...

mindset Support identity, RBAC and governance controls across Azure services Tech stack Azure Azure Databricks Terraform Azure DevOps/CI/CD Python SQL Apache Spark/PySpark Entra ID/RBAC/governance Networking/platform security/automation What were looking for Strong experience in Azure ...