924 Elt Jobs - Page 6

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and...

About The Role Project Role : Large Language Model Architect Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the development of Data Agents powered by Agentic AI. The ideal AI enthusiast will play a key role in designing, implementing, and...

Role: Tech Lead Description The Data Engineering Lead is a senior-level position within our Data Engineering team, responsible for spearheading the design, implementation, and optimization of advanced data architectures using Databricks. This role involves leading a team of data engineers, collaborating with business and data analysts, and business stakeholders, and delivering scalable, secure data solutions tailored to the needs of commercial analytics in the pharmaceutical industry. Certifications in Databricks, AWS, Azure, or related technologies is REQUIRED. Responsibilities 1. Architecture Design Develop and maintain scalable data architectures using Databricks, including data lakes, da...

Core Technologies : Oracle Data Integrator 11.x/12.x, Oracle Back-end programming (Oracle 11g/12c), Unix Scripting Database: Oracle 12C (Primary) Domain: Insurance – P&C Experience - 6-8 Yrs • Ensuring that the application is up and running • Translate business requirements into Technical Specifications • Develop, test, deploy and maintain ODI tool components (Packages, ETL Mappings, procedures, Knowledge Modules, metadata definitions and models, stored procedures and variables). • Develop and maintain Oracle PL-SQL code, Complex Query, Views, Stored Procedures, Packages, etc, to support the ETL/ELT processes • Working with scheduling package scenarios through ODI scheduler • Ensure data qua...

Managing data storage and access controls within Snowflake or similar cloud-based data platforms Implementing data governance and security best practices Optimizing queries and data processing to improve performance and efficiency Required Candidate profile 2-3 years of exp working with Snowflake or similar cloud-based data platform Pro in SQL, ETL processes, and data Modeling Strong exposure with Python Providing technical support and training

IDT ( www.idt.net ) is a communications and financial services company founded in 1990 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the worlds largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion. We are looking for a Mid-level Business Intelligence Engineer to join our global team. If you are highly intelligent, motivated, ambitious, ready to learn and make a direct impact, this is your opportunity! The individual in this role will perform data analysis, ELT/ETL design and support functions to deliver on strateg...

Crossing Hurdles is a recruitment firm. We refer top candidates to our partners working with the worlds leading AI research labs to help build and train cutting-edge AI models. Position: Data Engineer Type: Full-time Position Compensation: $20,000 - $100,000/year Location: Remote Duration: Permanent Role Responsibilities (Training support will be provided) : Build robust data pipelines to ingest, transform, and consolidate data from diverse sources including MongoDB, Airtable, PostHog, and production databases. Design dbt models and transformations to unify disparate data tables into clean, production-ready schemas. Implement scalable, fault-tolerant workflows using Fivetran, dbt, SQL, and P...

Roles and Responsibilities : Design, develop, test, deploy and maintain large-scale data pipelines using Airflow on AWS cloud platform. Collaborate with cross-functional teams to identify business requirements and design scalable ETL solutions using Scala/Spark. Develop high-quality code in Java/Kafka to integrate with existing systems and ensure seamless data flow. Troubleshoot complex issues related to pipeline failures, performance optimization, and data quality. Job Requirements : 1-3 years of experience in Data Engineering with expertise in Airflow, Kafka, Scala/Spark. Strong understanding of AWS services including S3, Lambda functions, Step Functions etc. . Proficiency in developing ef...

Title: Sr Software Engineer Data Desired Experience: 1-3 years Key Responsibilities: -Design, develop, and maintain robust data pipelines using Kafka, Airflow, and Spark. -Implement data models and schemas for efficient querying. -Develop and optimize code in Scala and Java for data processing tasks. -Monitor and troubleshoot data pipeline performance, ensuring data integrity and availability. -Collaborate with cross-functional teams to ensure seamless data integration and flow across systems. -Stay up-to-date with industry trends and best practices in data engineering and big data technologies. Required Skills: -1-3 years of experience in data engineering space. -Proficiency in Kafka, Airfl...

Key Responsibilities Design, develop, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory, Databricks, and other Azure services. Build and manage data lake and data warehouse solutions (e.g., Azure Data Lake, Synapse Analytics). Optimize data storage, retrieval, and performance across structured and unstructured data sources. Collaborate with data scientists, analysts, and business users to enable self-service BI and advanced analytics . Implement data governance, data quality, and security best practices across all data solutions. Automate processes for monitoring, logging, and performance tuning . Work in an Agile/DevOps environment to support CI/CD pipelines for dat...

Description The Data Engineering Lead is a senior-level position within our Data Engineering team, responsible for spearheading the design, implementation, and optimization of advanced data architectures using Databricks. This role involves leading a team of data engineers, collaborating with business and data analysts, and business stakeholders, and delivering scalable, secure data solutions tailored to the needs of commercial analytics in the pharmaceutical industry. Responsibilities 1. Architecture Design Develop and maintain scalable data architectures using Databricks, including data lakes, data warehouses, and real-time processing systems. Create detailed blueprints for data processes ...

Role: Tech Lead Description The Data Engineering Lead is a senior-level position within our Data Engineering team, responsible for spearheading the design, implementation, and optimization of advanced data architectures using Databricks. This role involves leading a team of data engineers, collaborating with business and data analysts, and business stakeholders, and delivering scalable, secure data solutions tailored to the needs of commercial analytics in the pharmaceutical industry. Responsibilities 1. Architecture Design o Develop and maintain scalable data architectures using Databricks, including data lakes, data warehouses, and real-time processing systems. o Create detailed blueprints...

Role & responsibilities Location: Hyderabad Experience level: 12-14 years Key skills: Strong understanding of SAP ECC/S4HANA data structures (like FI, CO, MM, SD, PP modules preferred) Hands-on experience with BODS, SLT, SAP Data Intelligence, or Datasphere Solid experience in SQL, data modelling , and building ETL/ELT pipelines using ADF, Databricks, etc. Exposure to cloud data platforms (Azure, AWS, GCP, Snowflake) Experience collaborating with SAP functional and data engineering teams Familiarity with Power BI, SAC, or Tableau is a plus Prior experience in manufacturing or supply chain domains preferred

Key Responsibilities: -Design, develop, and maintain robust data pipelines using Kafka, Airflow, and Spark. -Implement data models and schemas for efficient querying. -Develop and optimize code in Scala and Java for data processing tasks. -Monitor and troubleshoot data pipeline performance, ensuring data integrity and availability. -Collaborate with cross-functional teams to ensure seamless data integration and flow across systems. -Stay up-to-date with industry trends and best practices in data engineering and big data technologies. Required Skills: -1-3 years of experience in data engineering space. -Proficiency in Kafka, Airflow, Spark, Scala, SQL, and Java. -Experience in designing and m...

Location- Chennai, Bangalore, hyd , Pune Dev-Ops engineer with exp in Big Query, Data form, Qlik Replicate or any other GCP-native tools. Role & responsibilities Design, build and maintain ETL/ELT pipelines using GCP services including Big Query, Data form, Qlik Replicate or any other GCP-native tools. Integrate DevSecOps best practices into CI/CD pipelines Knowledge in creating CDC jobs in ETL tools. Experience with DevOps toolchains and integrating security into CI/CD pipelines Expertise or Proficient in writing SQL queries. Good to have knowledge on implementing batch and streaming data pipelines using GCP Dataflow. Schedule and automate data workflows and jobs using Google Cloud Schedule...

Job Characteristics: Demonstrates ability to extensively use data engineering principles solve complex data flow challenges to integrate, model, and automate data pipelines and data systems. The employee should demonstrate mastering of skills across following data engineering areas: development of data integration pipelines between data systems, data security, ETL and ELT, quality engineering activities and data operation engineering. The employee is able to assist in troubleshooting and problem resolution activities. Education/Work Experience: Typically requires a degree and 8+ years experience; or no degree and 12+ years combined education and equivalent work experience (typically 1 year e...

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 : Palantir Foundry Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Project Role:Lead Data Engineer Project Role Description:Design, build and enhance applications to meet business process and requirements in Palantir foundry.Work experience:Minimum 6 years Must have Skills: Palantir Foundry, PySparkGood to Have Skills: Experience in PySpark, python and SQLKnowledge on Big Data tools & TechnologiesOrganizational and project management experien...

About The Role Skill required: Delivery - Marketing Analytics and Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIAnalytical processes and ...

About The Role This role requires deep understanding of data warehousing, business intelligence (BI), and data governance principles, with strong focus on the Microsoft technology stack. Data Architecture Develop and maintain the overall data architecture, including data models, data flows, data quality standards. Design and implement data warehouses, data marts, data lakes on Microsoft Azure platform Business Intelligence Design and develop complex BI reports, dashboards, and scorecards using Microsoft Power BI. Data Engineering Work with data engineers to implement ETL/ELT pipelines using Azure Data Factory. Data Governance Establish and enforce data governance policies and standards. Prim...

Job Summary We are seeking a visionary and accomplished engineering leader to serve as the Director of Data Engineering and Analytics. This role will oversee multiple Data Engineering and Analytics teams organized along product lines, that design, build and deploy data products. Central to this body of work is the Platform Engineering team responsible for a cloud-based Data Platform, that serves as the foundation for developing and deploying all data products. The Data Platform also serves as the foundation for developing and deploying all AI products. You will collaborate closely with Platform Engineering, Data Product Management, AI/ML, and Operations to deliver scalable, reliable, and hig...

We are looking for an experienced ETL ODI Developer with 7+ years of expertise in Oracle Data Integrator (ODI) to design and develop scalable data integration solutions The ideal candidate should have strong hands-on skills in data modeling, SQL, ELT/ETL processes, and data governance best practices Exposure to Python scripting for API-based data ingestion is highly desirable The role involves developing functions, stored procedures, and data warehouse schemas, validating data quality, optimizing queries, and collaborating with DBAs and business stakeholders to deliver robust, high-quality data solutions Strong communication and problem-solving skills are essential for success in this role

Strong expertise in reporting and BI tools (e.g., Power BI, Tableau, Qlik) and SQL. Strong SQL skills, including query optimization and familiarity with data warehousing concepts. Experience with data modeling and designing efficient star/snowflake schemas or semantic layers. Solid understanding of ETL/ELT concepts and common data integration patterns. Design and develop reports, dashboards, and visualizations using BI tools; ensure clarity, usability, and adherence to design standards Maintain report documentation, metadata, and version control; manage access and security for reports. Troubleshoot performance issues and optimize data models, queries, and visualizations for responsiveness. A...

What you will do In this vital role you will be part of the Data Platform Engineering team to support and maintain cloud and big data solutions used by functional teams like Manufacturing, Commercial, Research and Development Work closely with the Enterprise Data Lake/Fabric delivery and platform teams to ensure that the applications are aligned with the overall architectural and development guidelines Research and evaluate technical solutions including Databricks, AWS Services, Kubernetes/EKS, NoSQL databases, Data Science packages, platforms and tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, cost management etc. Management...