1 to 25 of 28 Remote Apache Spark Jobs

business. Key Responsibilities: Design, build and enhance a secure, scalable and reliable Databricks platformDevelop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta LakeContribute to platform architecture, engineering standards and best practices across the data estateWork with Product, Analytics and Data Science teams … contribute to continuous improvement across the engineering teamJob Requirements: Significant experience building and supporting scalable, production-grade data platformsStrong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQLGood understanding of cloud-based data engineering, ideally within Microsoft Azure environmentsExperience with Infrastructure as Code tools such ...

with structured streaming, Delta Lake and Delta Live TablesProven experience in Lakehouse migration and modernization using open table formats such as Delta Lake or Apache IcebergProficiency with cloud-native services on Azure and knowledge of multi-cloud environments (AWS or GCP)Hands-on experience with CI/… governance, security practices and enterprise integration controlsBackground in financial trading data or related domainsOfficial Databricks certifications such as Certified Data Engineer Professional or Apache Spark DeveloperWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental ...

programming skills, with experience developing and maintaining data pipelines Familiarity with ETL/ELT technologies and data streaming tools such as Airflow, Azure, SSIS, Spark or Kafka Experience working with databases and data platforms such as PostgreSQL, SQL Server, Oracle, Snowflake or similar technologies Knowledge of data visualisation tools ...

Knowledge of data modelling, data warehousing and Lakehouse architectures . Experience with data quality, governance and CI/CD pipelines . Exposure to Kafka, Spark Streaming or real-time data processing would be advantageous. Requirements: Ideally 7+ years of commercial Data Engineering experience. Strong hands-on technical background ...

requiredDo not rule yourself out if you do not have these. They are a bonus, not a checklist. Experience with Delta Lake, Iceberg, Spark or Databricks, PalantirExperience optimising LLM serving with tools such as vLLM, TGI or TensorRT LLMSearch and ranking experience. For example Elasticsearch or rerankersBackground in time ...

into business processes and decision-making. Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics – Python, SQL, R, Spark, machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases ...

Python and SQL with strong knowledge of data modelling and ETL/ELT processes Solid understanding of Delta Lake, Delta Live Tables, Unity Catalog, Spark Structured Streaming and large-scale data processing Experience with Azure Data Factory (ADF), Qlik Replicate and modern data architecture practices Excellent communication, stakeholder management ...

experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake).Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python/ ...

strong understanding of modern data engineering best practicesYou have experience with Databricks, ideally also AzureYou have experience of working with technologies such as SQL, Apache Spark and Python including PySpark and PandasYou're excited to join a start-up in a role that you can shape and influenceYou ...

Annapolis Junction. Flexibility is essential to adapt to schedule changes as needed. Preferred Requirements Experience with big data technologies like: Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with K9s, AWS CLI and other AWS services like SNS, SQS and Diode ...

more of the following is preferred: Advanced Python or Scala CI/CD tools (Jenkins, Ansible, Fortify, DevOps pipelines) Microservices and Big Data (Spark, Hadoop/HDFS) AWS services (EC2, EMR, Lambda, S3, Glue) QA automation (Cucumber, Selenium, Karate) Preferred Domain Knowledge Financial data systems: Equity, Commodities, Forex, Futures ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks Experience working in regulated industries (finance, healthcare, or similar) Security Clearance ...

Hiring: Big Data PySpark Developer Location: Irving, TX (Hybrid 3 Days Onsite) Experience: 7+ Years Job Type: Full-Time Required Skills: PySpark, Python, Apache Spark, SparkSQL, Hadoop, SQL, Unix/Linux, Shell Scripting, and Apache Airflow. Interested candidates, please DM me or share your updated resume. VITS ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/ ...

data extraction, transformation, and pipeline development Experience with dashboarding and visualization tools (Tableau, Qlik, or similar) Familiarity with big data tools (Snowflake, Databricks, Spark) and ETL processes Experience with Python or R for advanced analytics, automation, or experimentation support preferred Knowledge of statistical methods and experimentation (A/ ...

large language model (LLM) systems, including retrieval augmented generation (RAG) and fine-tuning. Build scalable ETL/ELT pipelines using tools such as Spark or dbt, so data is high quality, time-stamped, and ready for both training and real-time inference. Design and deploy data collection systems ...

Senior Data Engineer – SQL/Python/AWS Adria Solutions is recruiting a Senior Data Engineer for a growing business developing a new digital services platform. With established backing, the business is building its data ...

understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering AI solutions from proof-of-concept through to production. Exposure to Databricks, MLflow, Spark, or similar cloud-based data platforms. Ability to influence senior stakeholders and lead technical strategy Desirable Experience Experience building multi-agent AI systems ...

translate complex AI capabilities into clear business use cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with ...

kubernetes) Experience with Key value stores Experience in git and basic Unix Commands You might also have (Desirable) Experience with large data processing technologies (Apache Spark) Other helpful information Hybrid Working: At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated ...

deploying scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability …/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming).Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

deploying scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability …/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...

deploying scalable data platforms end-to-end on AWS and/or Databricks. Production Coding: Strong, hands-on production experience with Python, SQL, Spark, and Databricks or AWS data tools. Consulting/Client Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability …/or AWS certifications at Associate or Professional level. Streaming Architectures: Practical experience with real-time or event-driven streaming (Kafka/MSK, Kinesis, Spark Structured Streaming). Advanced Data Architectures: Exposure to Data Mesh concepts, data products, or federated data governance models. AI/ML Infrastructure: Exposure ...