101 to 125 of 422 Remote PySpark Jobs

of MLOps and associated tools such as Azure DevOps/Github, MLFlow, Azure ML. Experience working with large datasets/big data architectures, particularly Pyspark/Databricks. Experience deploying container technologies (e.g. Docker, Kubernetes). Experience playing a lead role on technical AI projects. Excellent communication skills with both More ❯

the technical development of greenfield solutions to MVP demonstrations Technical Skills: Python Required: Proficient in pandas, numpy and sklearn. Desired: Professional experience with Databricks, PySpark, Cloud deployment, CI/CD and Git. Required: Proficient in creating E2E pipelines to train ML models including EDA, Feature Engineering, Model Selection, Parameter More ❯

apply if you have: Very strong experience working with Azure, Databricks, and large-scale data pipelines Strong proficiency in SQL, Python, and/or PySpark Understanding of data modelling, real-time streaming, and performance tuning Familiarity with DevOps practices, CI/CD, and IaC (Terraform, GitHub Actions) Experience with More ❯

apply if you have: Very strong experience working with Azure, Databricks, and large-scale data pipelines Strong proficiency in SQL, Python, and/or PySpark Understanding of data modelling, real-time streaming, and performance tuning Familiarity with DevOps practices, CI/CD, and IaC (Terraform, GitHub Actions) Experience with More ❯

apply if you have: Very strong experience working with Azure, Databricks, and large-scale data pipelines Strong proficiency in SQL, Python, and/or PySpark Understanding of data modelling, real-time streaming, and performance tuning Familiarity with DevOps practices, CI/CD, and IaC (Terraform, GitHub Actions) Experience with More ❯

apply if you have: Very strong experience working with Azure, Databricks, and large-scale data pipelines Strong proficiency in SQL, Python, and/or PySpark Understanding of data modelling, real-time streaming, and performance tuning Familiarity with DevOps practices, CI/CD, and IaC (Terraform, GitHub Actions) Experience with More ❯

AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers). Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph. More ❯

apply if you have: Very strong experience working with Azure, Databricks, and large-scale data pipelines Strong proficiency in SQL, Python, and/or PySpark Understanding of data modelling, real-time streaming, and performance tuning Familiarity with DevOps practices, CI/CD, and IaC (Terraform, GitHub Actions) Experience with More ❯

Good technical knowledge of Azure Databricks, Azure Data Factory, Terraform and Azure DevOps Strong grounding in both SQL and Python with extensive experience using PySpark Excellent communication skills and the ability to collaborate with different stakeholders and disciplines Ability to mentor and coach other members of the team What More ❯

Lake and Lakehouse architecture for efficient data management; experience with ETL processes and optimizing data pipelines for performance Be strong in Pandas, SQL, and PySpark Have a strong understanding of cloud networking principles, including Azure Virtual Networks, Private Endpoints, secure connectivity strategies Have experience or knowledge with GDPR compliant More ❯

analyze complex datasets and extract actionable insights • ETL pipeline development • Familiarity with machine learning workflows Optional skills: • Hands-on experience with Apache Spark (preferably PySpark) and Cloudera platform; • Practical knowledge of Elasticsearch for data indexing and querying Additional Information What do we offer you? International, positive, dynamic and motivated More ❯

Desirable Skills Familiarity with state management libraries (MobX, Redux). Exposure to financial data or market analytics projects. Experience with data engineering tools (DuckDB, PySpark, etc.). Knowledge of automated testing frameworks (Playwright, Cypress). Experience of WebAssembly. Python programming experience for data manipulation or API development. Use of More ❯

with FAISS, vector search, or NLP Knowledge of scripting Experience with CI/CD and Gitlab Experience working with Big Data tools such as PySpark, Hadoop, Data Bricks, MongoDB, Apache Spark, Apache Kafka Experience with monitoring tools such as Splunk, Grafana, and Prometheus #J-18808-Ljbffr More ❯

data for reporting and analytics Ensuring data quality and integrity through validation and cleansing techniques What We're Looking For: Strong proficiency in SQL , Pyspark and Python Hands-on experience with Microsoft Fabric Previous experience in a collaborative, data-driven team Bonus Points For: Experience working with D365 F More ❯

have delivered business-critical software to large enterprises You are comfortable manipulating large data sets and handling raw SQL Experience using technologies such as Pyspark/AWS/Databricks is essential Experience creating ETL Pipeline from scratch Experience leading teams and managing projects E-commerce and Financial Services industry More ❯

understanding of data definition, observability and data quality best practices. Proficiency in development languages suitable for intermediate-level data engineers, such as: Python/PySpark/SQL etc. Exposure to data science concepts and techniques is highly desirable. Strong problem-solving skills and attention to detail. Excellent communication and More ❯

have delivered business-critical software to large enterprises You are comfortable manipulating large data sets and handling raw SQL Experience using technologies such as Pyspark/AWS/Databricks is essential Experience creating ETL pipelines from scratch E-commerce and Financial Services industry experience preferred English fluency, verbal and More ❯

external data engineers and data scientists, who may not be familiar with the datasets, to accelerate development. Our technology stack consists of: Python and Pyspark AWS glue jobs assembled into Step functions Pydeequ for data quality testing Amazon Athena for querying data Hosted on AWS, using S3, Glue, Step More ❯

demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with the operational business and other departments, translating More ❯

the financial services sector. •Proficient in data profiling, data cleansing, and data validation techniques. •Hands-on experience with SQL and working knowledge of Python, PySpark, or data wrangling tools. •Familiarity with modern data quality platforms (e.g. Purview, Informatica, Talend, Collibra DQ). •Ability to analyse and interpret data to More ❯

with NLP, image processing, information retrieval, and deep learning models Experience with experiment design and conducting A/B tests Experience with Databricks and PySpark Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with More ❯

skills Excel proficiency Desirable but non-essential skills: Additional software engineering, cloud platform & data skills – (e.g. Linux, SQL, AWS (s3, CDK, Lambda, Glue, Athena), PySpark) Master’s degree, PhD or other additional qualification WORKING AT ZENOBE We’re passionate about sustainability and are proud to offer Team Zenobē a More ❯

a leadership or management role . Strong leadership skills , with experience in managing, mentoring, and developing engineering teams . Deep expertise in Databricks (SQL & PySpark) and Azure data services (ADF, Synapse, ADLS). Proven ability to drive data engineering strategies, best practices, and architectural decisions . Experience in building More ❯

effectiveness, including Azure DevOps. Considerable experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong More ❯

effectiveness, including Azure DevOps. Considerable experience designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc. Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use. Strong More ❯