10148 Data Engineering Jobs - Page 30

Job Description 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. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client qu...

Job Description 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. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client qu...

Job Description Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the ...

Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engi...

Job Description Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert re...

You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering. Working as part of an existing agile team to develop quality solutions within required deadline. Collaborating effectively to support and enhance the full product lifecycle. Reviewing proposals, evaluating alternatives, providing estimates and making recommendations. Shape and lead the infrastructure and security strategy and the technical roadmaps across the teams. Lead the design and implementation of scalable, secure, and compliant cloud solutions, collaborating across engineering, security, and business teams. Champion DevSecOps practices, CI/CD pipelines, and cloud-native tooling to enhance posture and redu...

Experian UK&I Business information division is looking for an accomplished Senior Data Engineer to join our dynamic team. You will develop data engineering applications and scalable data platforms. You will collaborate closely with teams to implement solutions that create value. Key Responsibilities: Design, build, and maintain scalable, cloud-native data pipelines using AWS. Develop ETL/ELT workflows using Glue, Pyspark , and Python Improve data modeling, partitioning, and querying strategies Experience reading and developing Terraform-based infrastructure code Qualifications Bachelor's degree in computer science, Engineering 5 to 7 years of experience in data engineering. Strong expertise ...

Responsibilities: * Collaborate with cross-functional teams on bid management * Lead presales activities from start to finish * Ensure accurate proposal delivery within deadlines * Manage RFIs, RFQs & RFPs with excellence Health insurance

As a Principal Engineer for Data Science and Engineering, you have the responsibility to develop data-centric solutions and take lead of comprehensive (sub-)projects with a direct impact on results. You will work with colleagues from a wide range of disciplines, professional backgrounds and specializations on a daily basis. Responsibilities : Responsible for the successful development and implementation of innovative analytics and business insights by tapping into various domain-specific data sources that are available. Develop GenAI solutions using the data sources that addresses business needs Addressing on strategic and operational issues for enabling data engineering and data science top...

Roles & Responsibilities Design & Build Scalable Data Solutions Improve data processing efficiency, ensuring scalability, speed, and reliability. Work closely with data scientists, analysts, business teams, product owners to understand data needs and deliver reliable, well-structured products. Mentor junior engineers, conduct code reviews, and promote best practices in data engineering. Mandatory Skills: 2-4 years experience in Data Engineering Deep hands-on expertise in Databricks, Python, SQL queries. Must be experienced in Design and implementation of Big Data technologies (Apache Spark, Hadoop ecosystem, Apache Kafka, NoSQL databases) Working as a Big Data Engineer: query tuning, perform...

What will your role look like Design, develop, and maintain robust data pipelines and applications using Python and PySpark. Build end-to-end data solutions from scratch, ensuring clean, modular, and reusable code. Write and optimize complex SQL queries for data transformation, validation, and analytics. Develop scalable, reusable frameworks following best practices in coding and architecture. Refactor existing codebases to improve performance and maintainability. Collaborate with data engineers, analysts, and stakeholders to deliver efficient and impactful solutions. Utilize Databricks and Azure Data Factory (ADF) to orchestrate and automate data workflows. Contribute to code reviews, perfo...

So, what’s the role all about? We are seeking a skilled Senior Data Engineer to join our Actimize Watch Data Analytics team. In this role, you will collaborate closely with the Data Science team, Business Analysts, SMEs to monitor and optimize the performance of machine learning models. You will be responsible for running various analytics on data stored in S3, using advanced Python techniques, generating performance reports & visualization in Excel, and showcasing model performance & stability metrics through BI tools such as Power BI and Quick Sight. How will you make an impact? Data Integration and Management: Design, develop, and maintain robust Python scripts to support analytics and ma...

Role and Responsibilities Design, develop, and maintain ETL pipelines across Zoho applications and SaaS platforms. Implement Deluge scripts to automate workflows and data transformations within Zoho. Configure and manage Zoho Analytics for data modeling, cleansing, dashboards, and BI reporting. Integrate Zoho with external SaaS tools and cloud platforms using Zoho Flow, REST APIs, and third-party connectors (Zapier, Make, etc.). Perform data migration, validation, and quality checks to ensure accuracy and consistency across systems. Collaborate with product, finance, sales, and operations teams to deliver data-driven insights. Ensure data governance, security, and compliance within SaaS and ...

What you'll do: Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for scalability. Design, develop and deploy high volume ETL pipelines to manage complex and near-real time data collection. Develop and optimize SQL queries and stored procedures to meet business requirements. Design, implement, and maintain REST APIs for data interaction between systems. Ensure performance, security, and availability of databases. Handle common database procedures such as upgrade, backup, recovery, migration, etc. Collaborate with other team members and stakeh...

What youll be doing The Senior Data Engineer will help build the next generation of cloud-based data tools and reporting for Experians MCE contact center division. Valuable, accurate, and timely information is core to our success, and this highly impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business. As part of this, understanding the business-side logic, environment, and workflows is important, and in effect, we need someone that is an incredible problem solver. If you are a self-driven, determined engineer that loves data, creating cutting edge tools, and moving fa...

Key responsibilities: Design, develop, and maintain scalable and efficient data pipelines and ETL processes to extract, transform, and load data from various sources into our data lake or warehouse Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements, define data models, and implement solutions that meet business needs Ensure the security, integrity, and quality of data throughout the data lifecycle, implementing best practices for data governance, encryption, and access control Develop and maintain data infrastructure components such as data warehouses, data lakes, and data processing frameworks, leveraging cloud...

What youll be doing The Senior Data Engineer will help build the next generation of cloud-based data tools and reporting for Experians MCE contact center division. Valuable, accurate, and timely information is core to our success, and this highly impactful role will be an essential part of that. Delivery pace and meeting our commitments are a primary focus to ensure that we are providing information at the speed of business. As part of this, understanding the business-side logic, environment, and workflows is important, and in effect, we need someone that is an incredible problem solver. If you are a self-driven, determined engineer that loves data, creating cutting edge tools, and moving fa...

Senior Data Engineer is responsible for design, develop and support ETL data pipelines solutions primary in AWS environment Design, develop, and maintain scaled ETL process to deliver meaningful insights from large and complicated data sets. Work as part of a team to build out and support data warehouse, implement solutions using PySpark to process structured and unstructured data. Play key role in building out a semantic layer through development of ETLs and virtualized views. Collaborate with Engineering teams to discovery and leverage new data being introduced into the environment Support existing ETL processes written in SQL, or leveraging third party APIs with Python, troubleshoot and r...

You will be #LI-hybrid based in Hyderabad and reporting to Director Engineering. You will be working as part of an existing agile team to develop quality solutions within required deadline. Collaborating effectively to support and enhance the full product lifecycle. Familiar DevSecOps practices, CI/CD pipelines, and cloud-native tooling to enhance posture and reduce friction. Familiarity with modern engineering practices such as Infrastructure as Code and Policy as Code and engineering delivery and maintaining platform security posture. Experience and Skills Knowledge of different software development lifecycle Familiarity with DevOps & IaC tooling such as CDK or Terraform Familirity with CI...

About The Role We are seeking a skilled and detail-oriented Data Engineer to join our team You will be responsible for designing, developing, and maintaining scalable ETL pipelines, optimizing data infrastructure, and ensuring data integrity through governance best practices This role involves working closely with quantitative teams and developers to build robust data solutions while leveraging cutting-edge big data technologies and cloud platforms Key Responsibilities Design, develop, and maintain scalable ETL pipelines for multi-scale datasets Architect and optimize high-performance data pipelines for seamless data flow and transformation Implement data quality checks and governance proces...

Responsibilities. API Development:. Design, develop, and maintain robust and scalable APIs to support various frontend applications and external integrations.. Collaborate with cross-functional teams to understand business requirements and translate them into API specifications.. Data Management:. Architect and implement data processing pipelines for efficient data storage, retrieval, and analysis.. Optimize database queries and ensure data consistency and integrity.. Backend System Development:. Develop and maintain backend services, ensuring high performance and reliability.. Collaborate with frontend developers to integrate frontend components with backend services.. Infrastructure and Sc...

Responsibilities Developing low to high-complexity, secure, governed, high-quality, and efficient data pipelines from a variety of on and off-premise, internal, and external data sources Ensuring that data is cleansed, mapped, transformed, and optimized for storage to meet requirements for business and technical use cases Building data observability and data quality by design into all Data pipelines, promoting self-testing pipelines that proactively identify processing issues or discrepancies Take all requirements into account when creating a proposal Understanding and evaluating the organizational impact of new technologies and digital services Troubleshooting and resolving issues Requireme...

About us: Working at Tech Holding isnt just a job, its an opportunity to be a part of something bigger We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients Our founders and team members have industry experience and have held senior positions in a wide variety of companies- from emerging startups to large Fortune 50 firms- and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability We are looking for talented Data Engineer to join our team As a Data Engineer, you will be responsible for de...

About us: Working at Tech Holding isnt just a job, its an opportunity to be a part of something bigger We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients Our founders and team members have industry experience and have held senior positions in a wide variety of companies- from emerging startups to large Fortune 50 firms- and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability We are looking for talented Data Engineer to join our team As a Data Engineer, you will be responsible for de...

Job Overview We are seeking an experienced MLOps Engineer with a strong background in building and deploying machine learning (ML) and large language models (LLMs). The ideal candidate will have mastery in data science platforms, significant software engineering experience, and expertise in LLMOps best practices. This role involves working on high-scale AI deployments, optimising LLM pipelines, and implementing responsible AI techniques. Requirements Key Responsibilities: ML & LLM Model Development: Build, deploy, and manage ML and LLM models on cloud-native platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP). Utilize LLM-specific frameworks like LangChain, LangGraph, and ...