51 to 75 of 189 Remote Apache Spark Jobs

modern data architectures, including cloud-based and distributed systems. Strong proficiency in SQL and Python. Experience with data engineering and pipeline technologies such as Apache Airflow and Spark. Experience working with cloud platforms, particularly AWS and Azure. Knowledge of big data technologies and distributed data processing. Understanding of data ...

with the Lead Data Engineer and partnering with data science, analytics and product teams. Key responsibilities * Build and maintain scalable data pipelines using Databricks, Apache Spark and Delta Lake * Develop and optimise batch and streaming workflows for reliability and performance * Contribute to lakehouse architecture and medallion pattern implementation … optimisation opportunities * Translate business requirements into technical solutions * Contribute to documentation and continuous improvement Required experience * Strong experience delivering production grade Databricks pipelines * Strong Spark, Delta Lake and Databricks Workflows experience * Python and SQL proficiency * Experience on Azure data platforms such as Azure Data Factory, ADLS Gen2, Azure DevOps ...

Strong experience in IaC and guidance on deploying infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop. Good understanding of modern data system design architectures (Data Warehouse, Data Lakes, Data Meshes). Ability to create data ...

able to guide how one could deploy infrastructure into different environments. Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop. Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes) Ability to create ...

solutions. Pipeline Development : Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow. Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery … using SQL to query and manipulate data. Proficiency in cloud data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Factory or AWS equivalents. Spark/Pyspark or Python skills. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. MS Fabric interest, skills or experience ...

understanding of data modeling. Familiarity with data governance, lineage, and quality frameworks. Fluency with AI tools and ADLC Working knowledge of Databricks Experience with Apache Spark Preferred: Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK). Proficient in CI/CD pipelines, automated testing ...

with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security best practices. Strong problem-solving skills and attention to detail. Excellent communication and collaboration ...

Nice to Have Hands‐on experience with cloud platforms such as Azure, AWS or GCP. Exposure to modern data platforms such as Snowflake, Databricks, Spark or similar. Experience with MLOps practices such as model deployment, monitoring, versioning or model registries. Exposure to workflow orchestration or deployment tools such ...

architecture (SQL and NoSQL) Experience with cloud technologies Experience with cloud platforms Experience with CI/CD practices Experience with big data tools e.g. Spark, Hadoop, NiFi Experience managing direct reports, providing regular guidance and performance feedback Ability to create delivery plans with estimated timelines for personal and team ...

Company Description Company DescriptionPublicis Media harnesses the power of modern media through leading agency brands Dysrupt, Infinite Roar, Publicis Collective, Publicis Health Media, Spark Foundry, Starcom and Zenith , as well as global accelerator PMX ; immersive experience group PMCI and access to integrated platform-based technologies and offerings from … marketing platforms. Build and optimize schemas, transformations, and ETL logic for high-performance, reusable data workflows. Contribute directly to the DFP codebase (Python, SQL, Spark) — developing pipelines and infrastructure alongside the engineering team. Establish data versioning, testing, and governance frameworks ensuring reliability, lineage, and compliance. Data Engineering Leadership Drive ...

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 ...

data pipeline orchestration tools* Containerisation (Docker, EKS, AKS, Kubernetes)* Proficiency in CI/CD principles and tools* Familiarity with open-source data tools (e.g., Spark, Kafka, PostgreSQL)* Infrastructure as Code (Terraform, Ansible)* Air-gapped development* Automation* Client/stakeholder management* Public sector domain understanding* Technical architecture**Experience:*** You will ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

Must-Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data ...

comfort working through ambiguity. Desirable MLOps excellence: reproducible pipelines, model versioning, CI/CD, observability, and automated evaluation. Data engineering: proficiency with Databricks, Apache Spark, Delta Lake, MLflow, and SQL; experience integrating datasets and maintaining data quality. Model training and optimisation: experience with pre‐training, fine‐tuning, distributed ...

environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved in modern data system design (e.g. Data Warehouse, Data Lakes and Data ...

grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with business ...

twin platforms.* Experience with vector databases, embeddings, semantic search, or RAG.* Experience with streaming data platforms such as Kafka, Pub/Sub, Flink, or Spark Streaming.* Experience supporting closed-loop automation, predictive assurance, or self-healing network use cases.* Experience working with OSS systems, inventory platforms, assurance systems ...

Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory ...

Pulsar, Kafka, RedPanda. Must have knowledge and experience automatically provisioning and supporting multiple big data technologies; such as MongoDB, DataBricks, Big Query, Hadoop, Spark, Trino, DataLakes/Lakehouse Architectures. Infrastructure management with Terraform Experience with Github or any other source control Knowledge of Scripting/Coding languages - Go, Bash ...

this role leads the engineering of cloud-native data services for the firm’s strategic platform, driving the migration to Databricks and delivering scalable Spark/Scala solutions on AWS.The overall objective of this role is to lead applications systems analysis and programming activities. Proven leadership in building … matching engines, AI/GenAI services and large-scale data platforms. This role will drive transformation of enterprise data capabilities using Databricks, scala/spark and cloud native architectures, ensuring platform is stable, scalable, resilient, secure and AI enabled.* As platform landscape evolved towards cloud-native, AI enabled ...

PostgreSQL (or similar relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working ...

alignment with business priorities and best practice Implementing robust ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines and Azure Databricks (PySpark/Spark SQL) to support batch and streaming data processing Designing and delivering real-time and batch data ingestion solutions using Azure Event Hubs, Kafka, Databricks ...

continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design. Degree in STEM ...

continuous delivery (CI/CD) pipelines, containerisation, and workflow orchestration. Familiar with ETL/ELT frameworks, and experienced with Big Data Processing Tools (e.g. Spark, Airflow, Hive, etc.) Knowledge of programming languages (e.g. Java, Python, SQL) Hands-on experience with SQL/NoSQL database design. Degree in STEM ...