530 Apache Spark Jobs - Page 6

You will be part of a dynamic team at NTT DATA as an ITSS-Azure Databricks Developer in Bengaluru, Karnataka, India. Your main responsibilities will include designing and implementing highly performant data ingestion pipelines using Apache Spark and/or Azure Databricks. You will be delivering proofs of concept to project stakeholders and developing scalable frameworks for ingesting geospatial data sets. NTT DATA is a trusted global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. As a Global Top Employer, NTT DATA operates in more than 50 countries with a diverse team of experts. The company offers ser...

In this role, you should be able to work independently with little supervision. You should have excellent organization and problem-solving skills. If you also have hands-on experience in software development and agile methodologies, we'd like to meet you. Your responsibilities will include: - Contributing independently to software development projects. - Designing and developing high-quality, reliable software solutions. - Conducting validation and verification testing to ensure product functionality. - Collaborating with internal teams to enhance and refine existing products. - Reviewing and debugging code to maintain performance and quality. Your experience should include: - Bachelors / Ma...

AHOM Technologies Pvt Ltd is seeking Python Developers to join their team. AHOM Technologies Private Limited is a specialized Web Development Company based in Gurgaon, India, offering high-quality and professional software services to clients worldwide. With a strong track record of serving clients globally, including the USA, UK, and Australia, the team at AHOM Technologies brings extensive experience in delivering top-notch solutions to a diverse clientele. As a Python Developer at AHOM Technologies, you will be a key player in the data engineering and analytics team, focusing on building and maintaining scalable data pipelines and analytical platforms using Python and Databricks with a fo...

As a Technology Practice Leader, you will play a crucial role in enabling delivery scalability for our high-end technology company based in India, aiming to be a global leader in the P-A-S-S (performance, availability, scalability, and security) Assurance space. With an impressive track record of over 60+ Enterprise customers, you will lead and ensure the successful delivery of some of the world's most complex projects. Your role will require you to be a hands-on performance architect, adept at solving deep technical issues, while also providing innovative thought leadership. In this role, your responsibilities will include leading and successfully delivering new and complex projects in area...

As a member of Kainskep Solutions, you will be part of a human, friendly, engaging, supportive, agile, and super collaborative culture that values teamwork, ownership, innovation, challenge, and collaboration. We believe in the strength of a diverse team and are committed to creating a diverse and inclusive environment. In this role, you will utilize programming languages such as Python, R, and SQL for data manipulation, statistical analysis, and machine learning tasks. You will apply fundamental statistical concepts and develop supervised and unsupervised machine learning models. Evaluating model performance, conducting data manipulation and visualization, and performing exploratory data an...

We are seeking an experienced Databricks Developer / Data Engineer to design, develop, and optimize data pipelines, ETL workflows, and big data solutions using Databricks. The ideal candidate should have expertise in Apache Spark, PySpark, SQL, and cloud-based data platforms (Azure, AWS, GCP). This role involves working with large-scale datasets, data lakes, and data warehouses to drive business intelligence and analytics. Key Responsibilities: Design, build, and optimize ETL and ELT pipelines using Databricks and Apache Spark. Work with big data processing frameworks (PySpark, Scala, SQL) for data transformation and analytics. Implement Delta Lake architecture for data reliability, ACID tra...

We are seeking a highly skilled GCP Data Engineer with experience in designing and developing data ingestion frameworks, real-time processing solutions, and data transformation frameworks using open-source tools. The role involves operationalizing open-source data-analytic tools for enterprise use, ensuring adherence to data governance policies, and performing root-cause analysis on data-related issues. The ideal candidate should have a strong understanding of cloud platforms, especially GCP, with hands-on expertise in tools such as Kafka, Apache Spark, Python, Hadoop, and Hive. Experience with data governance and DevOps practices, along with GCP certifications, is preferred.

The Platform Data Engineer will be responsible for designing and implementing robust data platform architectures, integrating diverse data technologies, and ensuring scalability, reliability, performance, and security across the platform. The role involves setting up and managing infrastructure for data pipelines, storage, and processing, developing internal tools to enhance platform usability, implementing monitoring and observability, collaborating with software engineering teams for seamless integration, and driving capacity planning and cost optimization initiatives.

We are looking for immediate joiner - Mumbai and Hyderabad location (Work from office) - Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

We are looking for immediate joiner - Mumbai and Hyderabad location (Work from office) - Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab.

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab.

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab.

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab.

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab.

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab.

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

- Data Processing: BigQuery, Apache Spark, Hadoop, Dataflow - BI Tools: Tableau, Power BI, Looker - Languages: Python, SQL, Java, Scala - ETL Tools: Apache Nifi, Talend, Informatica, Dataform - Cloud: GCP (BigQuery, Dataflow, Pub/Sub, Cloud Storage) - Data Modeling: Kimball, Star Schema, Snowflake Schema - Version Control: Git, GitLab

We are looking for immediate joiner | Work from Home Key skills: Pyspark, Apache Spark, AWS, Databricks, Scala, Java

As a Senior Database Administrator (DBA) specializing in Cloud & Big Data, you will be responsible for designing, managing, and optimizing large-scale, high-performance databases across cloud and on-premises environments. With 9+ years of experience, you will demonstrate expertise in SQL and NoSQL databases, including Couchbase, PostgreSQL, MySQL, Oracle, MongoDB, and DynamoDB. Additionally, familiarity with Databricks, Apache Spark, Python, R, and cloud-based data processing solutions is required. Your role will involve database performance tuning, replication strategies, high availability solutions, data pipeline management, and security enforcement. Experience in telecommunications data m...

The Senior GCP Data Engineer role at Deutsche Bank in Bangalore, India, offers you the opportunity to be part of an ambitious initiative focused on Sustainable Finance, ESG Risk Mitigation, and Corporate Sustainability. As Climate Change presents new challenges and opportunities, the bank is investing in developing a Sustainability Technology Platform, Sustainability data products, and sustainability applications to support its goals. To contribute to this initiative, we are seeking a highly motivated and experienced Senior GCP Data Engineer who is passionate about Climate Change and eager to leverage their Technology Skillset in Cloud/Hybrid Architecture. In this role, you will be responsib...