103 Spark Programming Jobs - Page 2

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing...

Senior AWS Data Engineer Experience: 6-12 Role Overview: We are looking for a Senior Big Data Engineer to join our team and work closely with project leads and clients. You will design and develop scalable data processing systems, gather and translate complex business requirements into end-to-end technical solutions, and oversee projects from conception through production. You will also mentor junior team members and ensure delivery of high-quality, robust solutions using cutting-edge technologies. Key Responsibilities: Design and develop scalable big data pipelines and solutions. Collaborate with project leads and clients to gather and refine requirements. Translate complex business needs i...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

Experience: 4 to 10 Years Location: Mumbai / Bangalore (Hybrid / Onsite) Employment Type: Full-Time About the Role We are looking for skilled backend engineers proficient in Scala , Java , or PySpark , to join a dynamic global team working for a leading European & USA BFSI client . This role is ideal for professionals who enjoy solving complex data and performance challenges, building high-volume, low-latency financial systems , and working with modern data processing frameworks such as Apache Spark and Scala . Youll be part of a high-impact engineering team , collaborating with architects, data engineers, and product stakeholders across regions. Key Responsibilities Design, develop, and opt...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

Who We Are Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishersno matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verves solutions are trusted by more than 90 of the United States top 100 advertisers, 4,000 publishers globally, and the worlds top demand-side platforms. Learn more at www.verve.com. Who You Are We're looking for a Senior Data Engineer to join our Da...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

About the Role: We are looking for a skilled and passionate Spark Developer to design, build, and optimize large-scale data processing systems. The ideal candidate will have strong expertise in Apache Spark , Big Data ecosystems , and distributed computing frameworks . Key Responsibilities: Design, develop, and maintain data processing pipelines using Apache Spark (Core, SQL, Streaming, Structured Streaming) . Implement ETL workflows for data ingestion, transformation, and integration across multiple data sources. Optimize Spark applications for performance, scalability, and reliability in distributed environments. Work with large structured and unstructured datasets to support analytical an...

Contract Duration : 3 months Skills : - PySpark or Scala with Spark, Spark Architecture, Hadoop, SQL - Streaming Technologies like Kafka etc.- Proficiency in Advanced SQL (Window functions)- Airflow, S3, and Stream Sets or similar ETL tools.- Basic Knowledge on AWS IAM, AWS EMR and Snowflake. Responsibilities : - Data Pipeline Development: Design, implement, and maintain scalable and efficient data pipelines to collect, process, and store large volumes of structured and unstructured data. - Data Modeling: Develop and maintain data models, schemas, and metadata to support the organization's data initiatives. Ensure data integrity and optimize data storage and retrieval processes. - Data Integ...

BANGALORE, Infosys Limited Spark Developer Work Experience 5 - 11 Years Educational Requirements Bachelor of Engineering,BTech,BCA,MTech,MCA Technical and Professional Requirements: Primary skills:Technology->Big Data - Data Processing->Spark Responsibilities A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction. • You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain. • You will participate in project estimation, provide input...

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. EY-Consulting - Data and Analytics Manager AWS Databricks EY's Consulting Services is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EYs financial services practice provides integrated Cons...

4 Years Data Engineering Experience 5 years of consulting experience Completed Data Engineering Professional certification & required classes Minimum 2-3 projects delivered with hands-on experience in Databricks Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark on Databricks Experience in Spark and or Hadoop, Flink, Presto, other popular big data engines Familiarity with Databricks multi-hop pipeline architecture

2 Years Data Engineering Experience, 3 years of consulting experience Completed Data Engineering Associate certification & required classes Minimum 1 project delivered with hands-on experience in development on Databricks Completed Apache Spark Programming with Databricks, Data Engineering with Databricks, Optimizing Apache Spark on Databricks SQL delivery experience, and familiarity with Bigquery, Synapse or Redshift Proficient in Python, knowledge of additional databricks programming languages (Scala)

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ex...

We are seeking a highly skilled and experienced Senior Data Engineer with strong expertise in Streaming Data and Big Data Technologies , AWS & Scala Mandatory . The ideal candidate will have hands-on experience in architecting and implementing scalable data solutions using modern cloud-native tools and frameworks. Key Responsibilities: Architect and implement scalable data pipelines for real-time, batch, structured, and unstructured data . Design and develop solutions using AWS services such as EMR, Kinesis, Glue, Athena, S3, CloudFormation, API Gateway . Work extensively with streaming platforms like Kafka, Flink, Spark Streaming . Develop and optimize data ingestion workflows using Apache ...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing...

Key Responsibilities Design, develop, and maintain robust ETL/ELT pipelines using SQL, dbt, and orchestration tools. Architect and implement data warehouse and lakehouse solutions leveraging Snowflake, Databricks, and cloud-native services. Work on data modeling, schema design, and query optimization for performance and scalability. Migrate and integrate legacy/on-prem data platforms to cloud environments (Azure or AWS). Implement data governance, quality, and security practices to ensure reliability and compliance. Collaborate with data scientists, BI developers, and business stakeholders to deliver analytics-ready datasets. Optimize pipelines and storage for cost efficiency and cloud-nativ...

Knowledge of setting up operating & maintaining wire EDM machine to produce parts & components. Set up & operating of EDM equipment to ensure proper making precision parts. Hand of experience in operating wire EDM machine, programming knowledge Required Candidate profile Shall be responsible for executing the job as per drawing, GD & T knowledge, Knowledge of 5S, safety & autonomous maintenance. Hands on experience in wire-cut, EDM & Spark Machine.

Minimum 6+ years of experience in the fundamental technology work of architecting / designing / building / managing / Optimizing the core frameworks for our cloud-based system platforms and end-to-end solutions. Responsible for optimization of cloud infrastructure, including Databricks , ADLS, Blob, VMs etc., Conduct Proof-of-Concept activities in support of advanced use cases. Must have architectural focus for ensuring availability, reliability and scalability are necessary Responsible for documenting the technical solutions Administer and manage Azure Databricks workspaces, clusters, and jobs with a focus on maximizing efficiency and performance. Implement and manage Unity Catalog to provi...