175 Data Warehouses Jobs - Page 7

Job Summary: We are seeking a highly motivated and experienced Senior Data Engineer to join our team. This role requires a deep curiosity about our business and a passion for technology and innovation. You will be responsible for designing and developing robust, scalable data engineering solutions that drive our business intelligence and data-driven decision-making processes. If you thrive in a dynamic environment and have a strong desire to deliver top-notch data solutions, we want to hear from you. Key Responsibilities: Collaborate with agile teams to design and develop cutting-edge data engineering solutions. Build and maintain distributed, low-latency, and reliable data pipelines ensurin...

We are seeking experienced Data Engineers with over 3 years of experience to join our team at Intuit, through Cognizant. The selected candidates will be responsible for developing and maintaining scalable data pipelines, managing data warehousing solutions, and working with advanced cloud environments. The role requires strong technical proficiency and the ability to work onsite in Bangalore. Key Responsibilities: Design, build, and maintain data pipelines to ingest, process, and analyze large datasets using PySpark. Work on Data Warehouse and Data Lake solutions to manage structured and unstructured data. Develop and optimize complex SQL queries for data extraction and reporting. Leverage A...

Proven expert at writing SQL code with at least 10 years of experience. Must have 5+ years of experience working with large data with transactions in the order of 5 10M records. 5+ years of experience modeling loosely coupled relational databases that can store tera or petabytes of data. 3+ years of proven expertise in working with large Data Warehouses. Expert at ETL transformations using SSIS.

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Aws Solution Architect Qualification : Any Graduate or Above Relevant Experience : 10 -15Years Required Technical Skill Set (Skill Name) : Data lakes, data warehouses, AWS Glue, Aurora with Postgres, MySQL and DynamoDB Location : Bangalore CTC Range : 25 LPA-40 LPA Notice period : Any Shift Timing : N/A Mode of Interview : Virtual Mode of Work : WFO( Work From Office) Pooja Singh KS IT Staffing Analyst Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA. pooja.singh@blackwhite.in I www.blackwhite.in

3-5 years of experience in Data Engineering or similar roles Strong foundation in cloud-native data infrastructure and scalable architecture design Build and maintain reliable, scalable ETL/ELT pipelines using modern cloud-based tools Design and optimize Data Lakes and Data Warehouses for real-time and batch processing

Seeking a Principal Data Engineer with the following skills, an excellent opportunity for top-tier coding experts . Experience with building and maintaining a Lakehouse architecture . Advanced expertise in Python and SQL. Expert in leveraging cloud-based data platform ( Snowflake , Databricks ) capabilities to create an enterprise lake house. Advanced expertise with AWS ecosystem Experience using spark for data ingestion/ processing Key Responsibilities Design, develop and maintain scalable data pipelines and architectures to support data ingestion, integration and analytics. Be accountable for technical delivery and take ownership of solutions. Lead a team of senior and junior developers pr...

What you will do In this vital role, you will be responsible for the end-to-end development of an enterprise analytics and data mastering solution using Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and impactful enterprise solutions that research cohort-building and advanced research pipeline. The ideal candidate will have experience creating and surfacing large unified repositories of human data, based on integrations from multiple repositories and solutions, and be extraordinarily skilled with data analysis and profiling. You will collaborate closely with key customers, product team members, an...

In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Dev...

What you will do The R&D Precision Medicine team is responsible for Data Standardization, Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with access to Amgens wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These data include clinical data, omics, and images. These solutions are pivotal tools in Amgens goal to accelerate the speed of discovery, and speed to market of advanced precision medications. The Data Engineer will be responsible for full stack development of enterprise analytics and data mastering solutions leveraging Databricks and Power BI. This role requires expertis...

Role Description: Lets do this. We are seeking an experienced Senior BI Engineer to lead the design, development, and optimization of scalable business intelligence (BI) solutions that empower data-driven decision-making across the organization. The ideal candidate is highly skilled in data modeling, dashboard development, ETL design, and cloud-based BI platforms, with a passion for turning complex data into clear, actionable insights. As a senior member of the BI team, you will work closely with data engineers, analysts, business stakeholders, and product teams to deliver robust, user-friendly analytics solutions that support strategic and operational goals. Roles & Responsibilities: Design...

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 client base e. I...

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 client base e. I...

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 Dos 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 client base e. I...

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 client base e. I...

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred.

Key Responsibilities Data Pipeline Development: Design, develop, and optimize robust data pipelines to efficiently collect, process, and store large-scale datasets for AI/ML applications. ETL Processes: Develop and maintain Extract, Transform, and Load (ETL) processes to ensure accurate and timely data delivery for machine learning models. Data Integration: Integrate diverse data sources (structured, unstructured, and semi-structured data) into a unified and scalable data architecture. Data Warehousing & Management: Design and manage data warehouses to store processed and raw data in a highly structured, accessible format for analytics and AI/ML models. AI/ML Model Development: Collaborate w...

Proven expert at writing SQL code with at least 10 years of experience. Must have 5+ years of experience working with large data with transactions in the order of 5 10M records. 5+ years of experience modeling loosely coupled relational databases that can store tera or petabytes of data. 3+ years of proven expertise in working with large Data Warehouses. Expert at ETL transformations using SSIS.

Proven expert at writing SQL code with at least 10 years of experience. Must have 5+ years of experience working with large data with transactions in the order of 5 10M records. 5+ years of experience modeling loosely coupled relational databases that can store tera or petabytes of data. 3+ years of proven expertise in working with large Data Warehouses. Expert at ETL transformations using SSIS.

Proficient in Veeva Vault EDC experience, CQL, CDB, working with JSON format and/or C#, CTMS, SAS, R or Python, Data Warehouses, SharePoint, Medidata Rave/ Oracle Inform. Required Candidate profile BACHELORS’ DEGREE IN A SCIENTIFIC / TECHNICAL DISCIPLINE Minimum 2+ years of experience in EDC programming International BPO experience is mandatory

Experience 10+ Years Academic Qualifications B.E. / B.Tech. / Any IT Graduate Role Description: Designs, implements, and maintains complex systems with respect to modelling, quality control, access, auditing, development, etc. Designs, implements, and maintains reporting environments and data warehouses from base PeopleSoft data sources Researches and helps implement more advanced modules and features of the databases (e.g., replication, clustering, partitioning, etc.) Develops and documents standards for proper PeopleSoft database administration Leads complex projects which are consistent with the growth of Asplundh, DBA Services and Personal growth Controls and monitors database and applic...

Develop & maintain Power BI dashboards & reports with advanced data visualisation techniques. Build & optimize ADF ETL pipelines for data extraction, transformation & loading. Integrate data from multiple sources such as SQL Server, Azure & Snowflake Required Candidate profile 5 to 6 years of experience in Power BI, Azure Data Engineering, and Business Intelligence. Strong hands-on experience in Power BI (DAX, Power Query, Custom Visuals, Row-Level Security).

Job Summary: Leads projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with key business stakeholders, IT experts and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Works on one or many product teams at a time. Key Responsibilities: Designs and automates deployment of our distributed system for ingesting and transforming data from various types of sources (relational, event-based, unstructured). Designs and implements framework to continuously monitor and troubleshoot data quality and data integrity issues. ...

Data Engineer QA (ETL + Selenium) 3 to 6 months Contract This contract position for a Data Engineer QA is a 3-6 months Contract Role focused on ensuring the quality and integrity of data. The main responsibilities include: ETL Testing: Designing and running tests on data pipelines to validate data transformations and ensure data is accurate and complete. Automation: Developing automated test scripts using Selenium with either Java or Python. Collaboration: Working with data engineers and other team members to align testing strategies and ensure project goals are met. Documentation: Maintaining clear documentation of test plans and results. Required skills include at least 5 years of experien...