268 Aws Emr Jobs - Page 3

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

Job Title :AWS Data Engineer Location :Bangalore Notice Period : Immediate to 60 Days Preferred. Job Description: We are seeking skilled and dynamic Cloud Data Engineers specializing in AWS, Databricks. The ideal candidate will have a strong background in data engineering, with a focus on data ingestion, transformation, and warehousing. They should also possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions. Key Responsibilities: - Design, build, and maintain scalable data pipelines for a variety of cloud platforms including AWS. - Implement data ingestion and transformation processes to facilitate efficient data warehousing. - U...

As a Data Platform Engineering Lead at JPMorgan Chase within Asset and Wealth Management, you have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. You are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. **Key Responsibilities**: - Lead the design, development, and implementation of scalable data pipelines and ETL b...

Job Title: Senior Data Engineer Location: Hyderabad(Client Office) Job Type: Fulltime Years of Experience 5-8 years About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & ...

Required Skills & Qualifications: 3-7 years of experience as an AWS Data Engineer Strong hands-on experience with AWS services like Glue, Lambda, RDS, Step Functions, and S3 Proficiency in developing integration solutions using (REST/SOAP)

Role & responsibilities We are seeking a highly skilled AWS Data Engineer with 68 years of experience in designing, building, and optimizing scalable data pipelines and cloud-based data platforms. The ideal candidate will have deep expertise in AWS native services, data modeling, ETL/ELT processes, and hands-on experience in enabling analytics solutions. You will collaborate with cross-functional teams including data architects, analysts, and business stakeholders to deliver high-performance, secure, and reliable data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using AWS services (Glue, EMR, Lambda, Step Functions, etc.). Build ...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing...

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark, Scala, and Hive, Hbase or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developin...

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore). Location: Gurgaon/Bengaluru Work Mode: Hybrid (2-3 days office in a week) Full time Job Description: 5-14 Years of in Big Data & Data related technology experience Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on programming with Python Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming Experience w...

We are looking for a Principal Data Engineer, Data Products to join KONE IT Enterprise Data & Analytics team in Pune, India. The team is driving forward Data Foundation, new way of working with data using latest cloud technology. Data Foundation is key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole organization. In our approach, data products play a vital role in business value generation. Driving optimized data engineering practices is crucial to ensure reusability and maintainability of the data products. Principal Data Engineer leads the design, development, and industrialization of dat...

As a Data Engineer, you will be responsible for handling various technologies related to cloud platforms such as Azure Datalake, Azure function, Azure Databricks, Azure Data Factory, and PostgreSQL. Additionally, having experience in Azure DevOps and Git flow would be advantageous. Moreover, familiarity with AWS services like Kinesis, EMR, Glue, RDS, Athena, and RedShift is also desirable. Expertise in working with timeseries data and Industry 4.0 projects is essential, along with knowledge of Palantir. Your role will require strong problem-solving skills with an emphasis on sustainable development practices. Proficiency in Python/PySpark, Pandas, Numpy, seaborn/matplotlib, and Streamlit.io ...

Job Summary: We are looking for an experienced Data Engineer who is proficient in designing and building data pipelines, data platforms, and data analysis solutions on the AWS ecosystem. The successful candidate will be the single point of contact for all data-related queries and pipeline delivery for the application products. Key Responsibilities: Design, build and maintain data pipelines and data platforms on AWS components, including AWS Data Lake, AWS Athena, Kafka, AWS Kinesis, AWS Aurora, AWS Document DB, Apache NiFi, Apache Spark, Apache Zookeeper, AWS S3, AWS EMR, and AWS Glue. Act as the single source of truth for all DBAT product data and handle both structured and unstructured dat...

About Cybage: Founded in 1995, Cybage Software Pvt. Ltd is a technology consulting organization specialized in outsourced product engineering services. As a leader in the Technology and product engineering space, Cybage works with some of the worlds best independent software vendors. Our solutions are focused on modern technologies and are enabled by a scientific, data driven system called Decision Mines for Digital Excellence. This unique model de-risks our approach, provides better predictability, and ensures a better value per unit cost for our clients. Apart from Pune, we have our operations hub in GNR and Hyderabad as well and we have also marked our presence in North America, Canada, U...

Job Title: Data Analytics Lead Experience: 7 to 8 Years Location: Hyderabad Role Type: Individual Contributor About the Role: We are seeking a skilled and experienced Data Analytics Specialist to join our team in Hyderabad. This is an individual contributor role focused on driving data quality, governance, and advanced analytics across a cloud-native environment. The ideal candidate should have strong technical expertise across modern data stacks, excellent problem-solving skills, and a proactive approach to managing enterprisegrade data platforms. Key Responsibilities: Design, develop, maintain data pipelines, data transformation ETL using AWS Glue, AWS EMR, AWS Kinesis, AWS Redshift, Amazo...

**Job Description:** As a Java Developer at our company, you will be responsible for developing and maintaining Java applications with a focus on REST API and Spring Boot. Your primary responsibilities will include: - Utilizing your 8 to 10 years of experience in Java, REST API, and Spring Boot to design and implement robust and scalable solutions. - Demonstrating hands-on experience in Angular JS, React JS, or View JS to enhance the user interface and overall user experience. - Collaborating with cross-functional teams to ensure the successful delivery of projects in an agile environment. - Applying your expertise in data cleaning, visualization, and reporting to extract actionable insights...

Role Overview: At Toyota Connected, you will have the opportunity to transform the automotive industry and positively impact others on a global scale. As part of the Operations - Product Quality team, you will work in a collaborative and fast-paced environment to deliver exceptional value through connected products and services. Your focus will be on continual improvement and re-imagining what mobility can be today and in the future. Key Responsibilities: - Design, develop, and maintain automation test frameworks and scripts specifically for API-level testing. - Validate and verify complex Machine Learning applications, ensuring models and data pipelines perform accurately in production envi...