281 Spark Streaming Jobs - Page 11

Senior Software Engineer HUB 2 Building of SEZ Towers, Karle Town Center, Nagavara, Bengaluru, Karnataka, India, 560045 Hybrid - Full-time Company Description When you are one of us, you get to run with the best. For decades, weve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling langu...

What this job involves: JLL, an international real estate management company, is seeking an Data Engineer to join our JLL Technologies Team. We are seeking candidates that are self-starters to work in a diverse and fast-paced environment that can join our Enterprise Data team. We are looking for a candidate that is responsible for designing and developing of data solutions that are strategic for the business using the latest technologies Azure Databricks, Python, PySpark, SparkSQL, Azure functions, Delta Lake, Azure DevOps CI/CD. Responsibilities Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed b...

JLL is a leading professional services firm that specializes in real estate and investment management. Our vision is to reimagine the world of real estate, creating rewarding opportunities and amazing spaces where people can achieve their ambitions. In doing so, we will build a better tomorrow for our clients, our people and our communities. JLL Technologies is a specialized group within JLL. At JLL Technologies, our mission is to bring technology innovation to commercial real estate. We deliver unparalleled digital advisory, implementation, and services solutions to organizations globally. Our goal is to leverage technology to increase the value and liquidity of the world's buildings, while...

We are looking for a Senior Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team. This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns. This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Data Engineer 2 at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management processes to...

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities Lead a team to design, develop, test, deploy, maintain and continuously improve so...

Job Title:EMR_Spark SME Experience:5-10 Years Location:Bangalore : Technical Skills: 5+ years of experience in big data technologies with hands-on expertise in AWS EMR and Apache Spark. Proficiency in Spark Core, Spark SQL, and Spark Streaming for large-scale data processing. Strong experience with data formats (Parquet, Avro, JSON) and data storage solutions (Amazon S3, HDFS). Solid understanding of distributed systems architecture and cluster resource management (YARN). Familiarity with AWS services (S3, IAM, Lambda, Glue, Redshift, Athena). Experience in scripting and programming languages such as Python, Scala, and Java. Knowledge of containerization and orchestration (Docker, Kubernetes...

Job Title:Data Engineer Experience5-7Years Location:Pune : Roles & Responsibilities: Create and maintain optimal data pipeline architecture Build data pipelines that transform raw, unstructured data into formats that data analyst can use to for analysis Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvementsautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and delivery of data from a wide variety of data sources using SQL and AWS ‘Big Data’ technologies Work ...

Job Title Data Architect Experience 10-12 Years Location Chennai : 10-12 years experience as Data Architect Strong expertise in streaming data technologies like Apache Kafka, Flink, Spark Streaming, or Kinesis. ProficiencyinprogramminglanguagessuchasPython,Java,Scala,orGo ExperiencewithbigdatatoolslikeHadoop,Hive,anddatawarehousessuchas Snowflake,Redshift,Databricks,MicrosoftFabric. Proficiencyindatabasetechnologies(SQL,NoSQL,PostgreSQL,MongoDB,DynamoDB,YugabyteDB). Should be flexible to work as anIndividual contributor

About the Role We are looking for a Staff EngineerReal-time Data Processing to design and develop highly scalable, low-latency data streaming platforms and processing engines. This role is ideal for engineers who enjoy building core systems and infrastructure that enable mission-critical analytics at scale. Youll work on solving some of the toughest data engineering challenges in healthcare. A Day in the Life Architect, build, and maintain a large-scale real-time data processing platform. Collaborate with data scientists, product managers, and engineering teams to define system architecture and design. Optimize systems for scalability, reliability, and low-latency performance. Implement robu...

Job: Software Developer (Java + Big Data) Location: Indore Years of experience: 5-7 years Requisition Description 1. Problem solving and analytical skills 2. Good verbal and written communication skills Roles and Responsibilities 1. Design and develop high performance, scale-able applications with Java + Bigdata as minimum required skill . Java, Microservices , Spring boot, API ,Bigdata-Hive, Spark, Pyspark 2. Build and maintain efficient data pipelines to process large volumes of structured and unstructured data. 3. Develop micro-services, API and distributed systems 4. Worked on Spark, HDFS, CEPh, Solr/Elastic search, Kafka, Deltalake 5. Mentor and Guide junior members

Exp - 2+ Years , Skills - AWS , Spark , Kafka , SQL , Java / Python ,Nifi ,Streaming ,Airflow ,Big security tools Location - Hyderabad , Banglore

Dear Candidate, We are hiring a Scala Developer to work on high-performance distributed systems, leveraging the power of functional and object-oriented paradigms. This role is perfect for engineers passionate about clean code, concurrency, and big data pipelines. Key Responsibilities: Build scalable backend services using Scala and the Play or Akka frameworks . Write concurrent and reactive code for high-throughput applications . Integrate with Kafka, Spark, or Hadoop for data processing. Ensure code quality through unit tests and property-based testing . Work with microservices, APIs, and cloud-native deployments. Required Skills & Qualifications: Proficient in Scala , with a strong grasp o...

The Job We are looking out for a Sr Data Engineer responsible to Design, Develop and Support Real Time Core Data Products to support TechOps Applications. Work with various teams to understand business requirements, reverse engineer existing data products and build state of the art performant data pipelines. AWS is the cloud of choice for these pipelines and a solid understand and experience of architecting , developing and maintaining real time data pipelines in AWS Is highly desired. Design, Architect and Develop Data Products that provide real time core data for applications. Production Support and Operational Optimisation of Data Projects including but not limited to Incident and On Call...

Role :- Resident Solution ArchitectLocation: RemoteThe Solution Architect at Koantek builds secure, highly scalable big data solutions to achieve tangible, data-driven outcomes all the while keeping simplicity and operational effectiveness in mind This role collaborates with teammates, product teams, and cross-functional project teams to lead the adoption and integration of the Databricks Lakehouse Platform into the enterprise ecosystem and AWS/Azure/GCP architecture This role is responsible for implementing securely architected big data solutions that are operationally reliable, performant, and deliver on strategic initiatives Specific requirements for the role include: Expert-level knowled...

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/Pune/Hyderabad/Bengaluru/Chennai Work Mode: Hybrid (2-3 days office in a week) 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 Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop Experience with building stream-processing systems, using ...

Preferred candidate profile - Currently serving Notice Period who can join with in 15--20 days only ! 5+ Years of Experience is Mandate in AWS and Bigdata Role & responsibilities Experience with Big Data technologies will be a plus ( Hadoop, Spark, Kafka, HBase, etc ) • Write SQL queries to validate the dashboard output • Working experience with database environment - understanding relational database structure and hands-on SQL knowledge to extract/manipulate data for variance testing. • Performing code reviews and pair programming • Supporting and enhancing current applications • Design, develop, test, and implement the application investigate and resolve complex issues while supporting exi...

Primary Skill: Spark, Java programming Strong knowledge in Apache Spark framework Core Spark, Spark Data Frames, Spark streaming Hands-on experience in any one of the programming languages (Java, Scala) Good understanding of distributed programming concepts. Experience in optimizing Spark DAG, and Hive queries on Tez Experience using tools like Git, Autosys, Bitbucket, Jira Mandatory Skills: Apache Spark.Experience: 5-8 Years.

Java+Spark Primary skill - Apache Spark Secondary skill - Java Strong knowledge in Apache Spark framework Core Spark, Spark Data Frames, Spark streaming Hands-on experience in any one of the programming languages (Java) Good understanding of distributed programming concepts. Experience in optimizing Spark DAG, and Hive queries on Tez Experience using tools like Git, Autosys, Bitbucket, Jira Ability to apply DWH principles within Hadoop environment and NoSQL databases. Mandatory Skills: Apache Spark.Experience: 5-8 Years.

Project Role :Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Data Engineering Good to have skills : API Management, Microsoft Azure IaaSMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication amon...

"Spark & Delta Lake Understanding of Spark core concepts like RDDs, DataFrames, DataSets, SparkSQL and Spark Streaming. Experience with Spark optimization techniques. Deep knowledge of Delta Lake features like time travel, schema evolution, data partitioning. Ability to design and implement data pipelines using Spark and Delta Lake as the data storage layer. Proficiency in Python/Scala/Java for Spark development and integrate with ETL process. Knowledge of data ingestion techniques from various sources (flat files, CSV, API, database) Understanding of data quality best practices and data validation techniques. Other Skills: Understanding of data warehouse concepts, data modelling techniques....

Understanding of Spark core concepts like RDDs, DataFrames, DataSets, SparkSQL and Spark Streaming. Experience with Spark optimization techniques. Deep knowledge of Delta Lake features like time travel, schema evolution, data partitioning. Ability to design and implement data pipelines using Spark and Delta Lake as the data storage layer. Proficiency in Python/Scala/Java for Spark development and integrate with ETL process. Knowledge of data ingestion techniques from various sources (flat files, CSV, API, database) Understanding of data quality best practices and data validation techniques. Other Skills: Understanding of data warehouse concepts, data modelling techniques. Expertise in Git fo...

JOB DESCRIPTION Collaborate with customer to gather requirements and to understand their business processes. Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Spark, SQL and Azure or AWS data technologies. Build analytics tools that utilize the data pipeline to provide actionable insigh...

About the Role Were seeking a highly skilled Data Engineer with a strong development background and a passion for transforming data into valuable insights. The ideal candidate will play a key role in designing, building, and maintaining scalable data pipelines and analytics solutions that support critical business decisions. What youll be doing Design, build, and optimize robust data pipelines for large-scale data processing Write complex SQL queries for data extraction, transformation, and reporting Collaborate with analytics and reporting teams to deliver data-driven insights Develop scalable solutions using programming languages such as Java, Python, and Node.js Integrate APIs and third-p...

Strong problem-solving skills with a focus on product development. Domain expertise in Big Data, Data Platforms, and Distributed Systems. Proficiency in Java, Scala, or Python (hands-on experience with Apache Spark is essential). Experience with data ingestion frameworks such as Apache Storm, Flink, or Spark Streaming. Experience with streaming technologies like Kafka, Kinesis, Oplogs, Binlogs, or Debezium. Strong database skills with experience in HDFS, Delta Lake, Iceberg, or Lakehouse architectures.

Job Summary Synechron is seeking an experienced Big Data Developer with strong expertise in Spark, Scala, and Python to lead and contribute to large-scale data projects. The role involves designing, developing, and implementing robust data solutions that leverage emerging technologies to enhance business insights and operational efficiency. The successful candidate will play a key role in driving innovation, mentoring team members, and ensuring the delivery of high-quality data products aligned with organizational objectives. Software Requirements Required: Apache Spark (latest stable version) Scala (version 2.12 or higher) Python (version 3.6 or higher) Big Data tools and frameworks support...