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- ...processing at scale. Key Responsibilities • Design and build scalable data pipelines and microservices using Java (Spring Boot), Spark, and cloud-native technologies • Develop high-throughput, low-latency data processing systems for real-time and batch workloads...SuggestedFull timeWorldwide
- ..., high-performance systems at scale. Key Responsibilities • Design and build scalable batch and real-time data pipelines using Spark, Kafka, and (preferred) Apache Flink • Develop robust ETL/ELT frameworks for structured and unstructured data • Build and optimize...SuggestedFull timeWorldwide
- ...In depth knowledge of Advance Java, Spring boot and Spring framework, Persistence framework, Performance tools, Apache Nifi, Apache Spark, Object storage, Messaging service, Testing framework • Understanding of use cases for advanced design to implement efficient code...SuggestedFull timeWorldwide
- ...code quality, version control, and writing efficient, maintainable pipelines. Strong SQL skills and familiarity data lake systems. Spark or PySpark experience is helpful. Strong writing and communication skills; can explain analysis and recommendations clearly to varied...SuggestedFull timeWorldwide
- ...you • Bachelor’s degree in information technology, Computer Science or equivalent education. • Hands-on experience with Apache Spark or Databricks, preferably using Python or Java. • Proven experience building large-scale data or ETL pipelines that handle high-...SuggestedFull timeWorldwide
- ...Proficiency in SQL and at least one programming language (Python, Scala, or Java) • Experience working with big data technologies such as Spark, Hadoop, or Kafka • Familiarity with data modeling concepts and data warehouse architecture • Experience debugging data issues...SuggestedFull timeWorldwide
- ...mentoring engineers, driving delivery, and partnering with Product, Program, and Architecture teams. Experience with Big Data ecosystems (Spark, Hadoop, Cloudera) is highly valuedand is a strong plus. Key Responsibilities: Engineering & Technical Leadership: Act as a...SuggestedFull timeWorldwide
- ...NET and database technologies like SQL Implement scalable and efficient data architectures using technologies like Hadoop, Impala, Spark on-premises. Evaluate and recommend new technologies and approaches to improve the performance, scalability, and reliability of...SuggestedFull timeWorldwideFlexible hours
- ...security concepts, IAM design, data encryption, and governance frameworks. • Experience with data engineering frameworks such as Spark, PySpark, and large-scale ETL systems. • Proficiency in scripting and automation using Python, Bash, or PowerShell. • Demonstrated...SuggestedFull timeWorldwide
- ...existing data warehouse structures All about you • Must have experience deploying and working with big data technologies like Hadoop, Spark, and Sqoop • Experience with streaming frameworks like Kafka and Axon • Experience designing and building ETL pipeline using...SuggestedFull timeWorldwide
- ...Familiarity with ETL frameworks and the ability to design, implement, and maintain data pipelines. • Experience with Databricks and Spark is a plus. • Demonstrate curiosity about emerging developer productivity tools (e.g., GitHub Copilot); prior experience is not...SuggestedFull timeLocal areaWorldwideFlexible hours
- ...solutions that drive client impact Apply advanced analytics techniques using enterprise tools and platforms such as Python, Hadoop, Spark, Kafka, Impala, NiFi, and related data environments Identify opportunities to codify and automate repeatable analyses, improving...SuggestedFull timeImmediate startWorldwide
- ...technical delivery for projects involving Cloudera distribution, Apache Ozone, Apache Iceberg, Apache Airflow, Apache NiFi, and Apache Spark. Collaborate with cross-functional teams to define architecture, technical standards, and best practices for big data platforms...SuggestedFull timeWorldwideFlexible hours
- ...Production frameworks: TensorFlow, Keras, PyTorch, XGBoost. • Experience working with big data and scalable compute (e.g., Hadoop/Hive/Spark, GPU-enabled environments). • Demonstrated practical AI mindset: ability to simplify complexity, make tradeoffs, and deliver...SuggestedFull timeWorldwide
- ...Git/BitBucket, Jenkins, Maven, Artifactory and Chef ~ Good to have operational Experience in Big Data Stacks ( Hadoop ecosystem, Spark is a plus) ~ Good to have operational Experience in real-time ,streaming and data pipelines relevant frameworks ( Kafka and NiFi is...SuggestedFull timeWork experience placementWorldwide
- ...functionally with product and engineering teams Technical Skills: • Intermediate proficiency in SQL (e.g., Oracle, Hive, Impala, Spark) • Experience with big data platforms (e.g., Hadoop, Oracle) for data extraction and analysis • Familiarity with BI and...Full timeWorldwide
- ...architectures and pipeline solutions. • Implement batch and streaming data workflows using modern cloud data technologies (e.g., Spark, Databricks, Airflow, cloud-native storage). • Apply best practices for data modeling, schema management, and pipeline performance...Full timeWorldwide