869 Data Ingestion Jobs - Page 24

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelo...

As a Client Account Management Associate Manager at Accenture, you will be responsible for helping to balance increased marketing complexity and diminishing resources. Your role involves driving marketing performance through deep functional and technical expertise, accelerating time-to-market, and enhancing operating efficiencies at scale. You will be utilizing Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement, and Media Growth Services to achieve these objectives. Your responsibilities will include implementing client account plans through relationship development, identifying opportunities to provide additional value to clients, and mon...

Role : Snowflake Practice Lead / Architect / Solution Architect Exp : 13+ Years Work Location : Hyderabad Position Overview : We are seeking a highly skilled and experienced - Snowflake Practice Lead- to drive our data strategy, architecture, and implementation using Snowflake. This leadership role requires a deep understanding of Snowflake's cloud data platform, data engineering best practices, and enterprise data management. The ideal candidate will be responsible for defining best practices, leading a team of Snowflake professionals, and driving successful Snowflake implementations for clients. Key Responsibilities : Leadership & Strategy : - Define and drive the Snowflake practice strate...

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

So, what’s the role all about? Within Actimize, the AI and Analytics Team is developing the next generation advanced analytical cloud platform that will harness the power of data to provide maximum accuracy for our clients’ Financial Crime programs. As part of the PaaS/SaaS development group, you will be responsible for developing this platform for Actimize cloud-based solutions and to work with cutting edge cloud technologies. How will you make an impact? NICE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions & has been consistently ranked as number one in the space At NICE Actimize, we recognize th...

Experience : 6+ years as Azure Data Engineer including at least 1 E2E Implementation in Microsoft Fabric. Responsibilities : - Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses. - Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions. - Ensure data integrity, quality, and governance throughout Microsoft Fabric environment. - Collaborate with stakeholders to translate business needs into actionable data solutions. - Troubleshoot and optimize existing Fabric implementations for enhanced performance. Skills : - Solid foundational knowledge in data warehousing, ETL/ELT processes...

So, what’s the role all about? We are looking for a highly driven and technically skilled Software Engineer to lead the integration of various Content Management Systems with AWS Knowledge Hub, enabling advanced Retrieval-Augmented Generation (RAG) search across heterogeneous customer data—without requiring data duplication. This role will also be responsible for expanding the scope of Knowledge Hub to support non-traditional knowledge items and enhance customer self-service capabilities. You will work at the intersection of AI, search infrastructure, and developer experience to make enterprise knowledge instantly accessible, actionable, and AI-ready. How will you make an impact? Integrate C...

About the job : Experience : 6+ years as Azure Data Engineer including at least 1 E2E Implementation in Microsoft Fabric. Responsibilities : - Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses. - Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions. - Ensure data integrity, quality, and governance throughout Microsoft Fabric environment. - Collaborate with stakeholders to translate business needs into actionable data solutions. - Troubleshoot and optimize existing Fabric implementations for enhanced performance. Skills : - Solid foundational knowledge in data warehousing, E...

About the job : Role : Microsoft Fabric Data Engineer Experience : 6+ years as Azure Data Engineer including at least 1 E2E Implementation in Microsoft Fabric. Responsibilities : - Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses. - Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions. - Ensure data integrity, quality, and governance throughout Microsoft Fabric environment. - Collaborate with stakeholders to translate business needs into actionable data solutions. - Troubleshoot and optimize existing Fabric implementations for enhanced performance. Skills : - Solid foundat...

Overview PepsiCo Data BI & Integration Platforms is seeking a Midlevel IBM MQ Platform technology leader, responsible for overseeing the deployment, and maintenance of on-premises and cloud infrastructure (AWS/Azure) for its North America PepsiCo Foods/Beverages business. The ideal candidate will have hands-on experience in managing and maintaining IBM MQ platforms, ensuring system stability, security, and optimal performance including Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities IBM MQ platform administration Installing, configuring, upgrading, and maintaining IBM MQ across various envi...

Overview PepsiCo Data BI & Integration Platforms is seeking a Midlevel TIBCO Messaging (EMS, Business Works) Platform technology leader, responsible for overseeing the deployment, and maintenance of on-premises and cloud infrastructure (AWS/Azure) for its North America PepsiCo Foods/Beverages business. The ideal candidate will have hands-on experience in managing and maintaining TIBCO EMS (Enterprise Messaging System) and TIBCO Business Works (BW) platforms, ensuring system stability, security, and optimal performance including Infrastructure as Code (IaC), platform provisioning & administration, network design, security principles and automation. Responsibilities TIBCO platform administrati...

Overview PepsiCo Data BI & Integration Platforms is seeking a Confluent Kafka Platform technology leader, responsible for overseeing the deployment, and maintenance of on-premises and cloud infrastructure (AWS/Azure) for its North America PepsiCo Foods/Beverages business. The ideal candidate will have hands-on experience in managing and maintaining Confluent Kafka platforms, ensuring system stability, security, and optimal performance with Azure/AWS services Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and automation. Responsibilities Kafka platform administration In-depth knowledge of Apache Kafka and the Confluent Pla...

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights Role Value Proposition MetLife Global Capability Center (MGCC) is looking for a Senior Cloud data engineer who has the responsibility of building ETL/ELT, d...

As a Client Account Management Associate Manager at Accenture, you will play a crucial role in helping to balance increased marketing complexity and diminishing marketing resources. Your primary responsibility will be to drive marketing performance with deep functional and technical expertise, while accelerating time-to-market and operating efficiencies at scale. This will involve leveraging Data and Technology, Next Generation Content Services, Digital Marketing Services & Customer Engagement, and Media Growth Services. Your role will require you to implement client account plans through relationship development and opportunity pursuits that build deeper client relationships. Additionally, ...

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Data Engineer, you should have experience with hands-on experience in Pyspark and a strong knowledge of Dataframes, RDD, and SparkSQL. You should also have hands-on experience in developing, testing, and maintaining applications on AWS Cloud. A strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena) is esse...

The ideal candidate for this role should have a minimum of 4 years of experience in the following areas: Requirements: - Strong skills in writing complex queries, stored procedures, and performance tuning using SQL. - Expertise in creating pipelines, data flows, and orchestrating data movement in Azure Data Factory (ADF). - Proficiency in ETL processes, package creation, and deployment using SQL Server Integration Services (SSIS). - Knowledge of data warehousing, distributed query execution, and integration with Azure services in Azure Synapse Analytics. - Familiarity with Jupyter Notebooks or Synapse Notebooks for data exploration and transformation. - Understanding of Azure Blob Storage, D...

Critical Skills to Possess: Expertise in data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions Hands-on experience with Agile software development Experience in designing and hands-on development in cloud-based analytics solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential. Thorough understanding of Azure and AWS Cloud Infrastructure offerings. Expertise in Azu...

Experience in Microsoft SQL Server database development (TSQL) Experience in building SSIS packages Good experience in creation LLDs.Experience delivering solutions utilizing the entire Microsoft BI stack (SSAS, SSIS) Experience with SQL Server/T-SQL programming in creation and optimization of stored procedures, triggers and user defined functions Microsoft SQL Server database development (TSQL) experience Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts Must be able to build Business Intelligence solutions in a collaborative, agile development environment Strong understanding of Data Ingestion, Data processing, Orchestration...

Databricks Developer Primary Skill : Azure data factory, Azure databricks Secondary Skill: SQL,,Sqoop,Hadoop Experience: 5 to 9 years Location: Chennai, Bangalore ,Pune, Coimbatore Requirements: Cloud certified in one of these categories Azure Data Engineer Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation Semantic Modelling/ Optimization of data model to work within Rahona Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle. Experience in Sqoop / Hadoop Microsoft Excel (for metadata files with requirements for ingestion) Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud Stro...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection

Must-have skills Cloud certified in one of these categories Azure Data Engineer Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation Semantic Modelling/ Optimization of data model to work within Rahona Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle. Experience in Sqoop / Hadoop Microsoft Excel (for metadata files with requirements for ingestion) Any other certificate in Azure/AWS/GCP and data engineering hands-on experience in cloud Strong Programming skills with at least one of Python, Scala or Java Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years .

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Key skills Azure Data Factory (primary) , Azure Data bricks Spark (PySpark, SQL) Must-have skills Cloud certified in one of these categories Azure Data Engineer Azure Data Factory , Azure Data bricks Spark (PySpark or scala), SQL, DATA Ingestion, Curation Semantic Modelling/ Optimization of data model to work within Rahona Experience in Azure ingestion from on-prem source, e.g. mainframe, SQL server, Oracle. Experience in Sqoop / Hadoop Microsoft Excel (for metadata fi...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As an AWS Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. In this role, you'll be engin...

We are looking for a highly motivated and experienced Data and Analytics Senior Architect to lead our Master Data Management (MDM) and Data Analytics team. As the Architect Lead, you will be responsible for defining and implementing the overall data architecture strategy to ensure alignment with business goals and support data-driven decision-making. Your role will involve designing scalable, secure, and efficient data systems, including databases, data lakes, and data warehouses. You will evaluate and recommend tools and technologies for data integration, processing, storage, and analytics while staying updated on industry trends. Additionally, you will lead a high-performing team, foster a...

Key Responsibilities: Provide expert-level support for Azure Machine Learning, OpenAI, Cognitive Services, Synapse, and Data Factory . Troubleshoot real-time data integration pipelines, model deployments, inference performance, and security configurations. Guide customers in implementing Responsible AI , security governance, and model versioning best practices. Collaborate with engineering teams to resolve service issues and release platform updates. Proactively identify patterns in customer challenges and build reusable diagnostics or automations. Work with cross-functional teams (Product, Engineering, Customer Success) to improve support processes and tooling. Skillset: Strong foundation i...