18,823 job opportunities for data engineer in India updated today
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IBMKey Responsibilities: Data Modeling and ETL: Design, build, optimize, and maintain data models and ETL processes to support business requirements. Data Pipeline Development: Develop end-to-end data pipelines and workflows from source to target systems. Data Infrastructure Management: Build, deploy,
PepsicoOverview In this role, you will play a key role in automating and streamlining the data processing pipeline for AMESA markets. Responsibilities Own data pipeline development end-to-end, spanning data modeling, testing, scalability, operability and ongoing metrics. Ensure that we build high quality s
IBMKey Responsibilities: Develop and maintain data pipelines for batch and stream processing using Informatica PowerCenter or cloud ETL/ELT tools. Implement and validate predictive and statistical models, incorporating machine learning techniques for big data applications. Design and implement enterpri
IBMKey Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes using Azure services. Work with Azure Data Factory, ADLS (Azure Data Lake Store), and Databricks to manage and process data efficiently. Utilize PySpark, PL/SQL, and Spark SQL for programming and data transfo
IBMAs an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing Collaborating closely with diverse teams, you'll play an important role in deciding the most suita
Coforge Solutions Private LimitedKey Responsibilities: Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Collaborate with analysts to understand data requirements and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Az
IBMIn this role, your responsibilities may include: Very good experience on Continuous Flow Graph tool used for point based development. Responsibilities Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components.
IBMOverview As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your wor
IBMRole & Responsibilities: Lead end-to-end feature development and resolve implementation challenges. Learn and implement new technologies within defined timelines. Manage debugging, root cause analysis, and fix issues in the Content Management back-end software system. Collaborate and integrate code
Job description: - Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, Cosmo
CogniteKey Responsibilities Troubleshooting Issues & Customer Support: Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion (CDF) functionality. Work with customer teams to understand production incidents, reproduce issues, and
CogniteKey Responsibilities: Data Infrastructure Design: Lead the design and implementation of scalable data engineering solutions using Cognite Data Fusion (CDF). Integration & Data Modeling: Drive integrations and data modeling tasks, utilizing Cognite data connectors, SQL, Python/Java, and REST APIs. Cu
Key Responsibilities: Issue Troubleshooting & Customer Support: Investigate and debug complex customer-reported issues related to data pipelines, integrations, data models, and Cognite Data Fusion functionality. Collaborate with customer teams to understand production incidents, reproduce issues, an
Wissen InfotechKey Responsibilities: Collaborate with the team to define and implement high-level technical architecture for backend services and data monetization components. Design, develop, and enhance features in scalable data applications and services. Develop technical documentation, data flow diagrams, and
Programming ComKey Responsibilities : Design, develop, and manage robust data pipelines using PySpark and SQL. Work with AWS services to implement data solutions. Utilize Databricks for data processing and analytics. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
Vayuz TechnologiesVayuz Technologies is seeking a highly skilled Data Engineer to design and develop robust data pipelines for real-time and batch data ingestion and processing. This role is crucial for leveraging technologies like Confluent Kafka, ksqlDB, Kafka Connect, and Apache Flink to build scalable and reliabl
Dxc TechnologyJob Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai At least 5+ years of relevant hands on development experience as Azure Data Engineering role Proficient in Azure technologies like ADB, ADF, SQL(capability of writing complex SQL queries), ADB, PySpark
Dxc TechnologyJob Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai At least 5+ years of relevant hands on development experience as Azure Data Engineering role Proficient in Azure technologies like ADB, ADF, SQL(capability of writing complex SQL queries), ADB, PySpark
Dxc TechnologyJob Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai At least 5+ years of relevant hands on development experience as Azure Data Engineering role Proficient in Azure technologies like ADB, ADF, SQL(capability of writing complex SQL queries), ADB, PySpark
Ghrs TrainingResponsibilities: Data Pipeline Design & Development: Design, build, and optimize robust and scalable ETL/ELT data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks (Spark), and other Azure data services. Automate data ingestion, transformation, and loading processes from
₹3,35,000 – ₹5,35,000per year
Estimation confidence: Low
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