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Rippling jobs

About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the

Rippling  28 days ago
Hp jobs

Data Engineer Description - Key Roles Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data. Analyzes design and determines coding, programming, and integration

Hp  28 days ago
PWC jobs

Industry/SectorNot Applicable SpecialismFunctional & Industry Technologies Management LevelSenior Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions.

PWC  27 days ago
DP World jobs

KEY ACCOUNTABILITIES Solution Design & Architecture: Lead the design of end-to-end data platform solutions, ensuring they meet both business and technical requirements. Architect scalable, high-performance data platforms leveraging technologies such as cloud-based solutions (AWS, Azure, GCP), data lakes, data warehouses,

DP World  27 days ago
NetApp jobs

Job Summary We are seeking an IC3 Data Engineer (5-8 years) to design, build, and operate the data platforms that power our GenAI applications. This is a hands-on, pureplay data engineering role with strong database and systems administration ownership:

NetApp  26 days ago
SolarEdge jobs

Description Are you ready to power the future? At SolarEdge (NASDAQ: SEDG), were a global leader in smart energy technology, with over 4,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions

SolarEdge  26 days ago
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Bloom Energy jobs

Location: This position will be based in Bangalore/Mumbai, India Role and Responsibilities: Design, develop, and maintain scalable data pipelines using PySpark and Apache Spark. Process and analyze large-scale structured and unstructured datasets in distributed environments. Responsible for

Bloom Energy  26 days ago
Sabre Corporation jobs

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established

Sabre Corporation  25 days ago
Amazon.com jobs

Own the architecture of a data product that makes AI-powered commerce measurable, trustworthy, and improvable for millions of sellers worldwide. Join SP-AI Data Products as a founding technical leader who will define how an entire organization observes, governs,

Amazon.com  25 days ago
First Advantage jobs

Key Responsibilities Salesforce Data Engineering & Analysis Pipeline Architecture Build scalable ETL/ELT pipelines to ingest, transform, and synchronize large datasets into Salesforce. Design integration solutions between Salesforce and enterprise applications using modern APIs and middleware platforms. Advanced

First Advantage  25 days ago
Headout jobs

Why Headout? We’re a rocketship: 9-figure revenue, record growth, and profitable With $200M+ in revenue, guests in 700+ cities, and 18 months of profitability, Headout is the fastest-growing marketplace in the travel industry, and we’re just

Headout  25 days ago
PradeepIT jobs

Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 5 to 8 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of

PradeepIT  25 days ago
PradeepIT jobs

Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 6 to 8 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of

PradeepIT  25 days ago
PradeepIT jobs

Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 9 to 12 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of

PradeepIT  25 days ago
Apple jobs

SummaryApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, is the result of us making each other’s ideas stronger. That happens

Apple  25 days ago
VESTAS jobs

Vestas is well-known in wind technology and actively contributes to its development. Vestas’ core business comprises the development, manufacture, sale, marketing, and maintenance of Wind Turbines. Come and join us at Vestas! Data, Software & AI Platform

VESTAS  23 days ago
Brillio jobs

Senior Data Engineer Primary Skills ETL Fundamentals, SQL, SQL (Basic + Advanced), Alation, Talend, Python, Data Warehousing, IICS, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures Specialization ETL Specialization: Senior Data Engineer Job requirements Hiring: Snowflake Data Engineer (4-6 Years)

Brillio  22 days ago
Brillio jobs

Senior Data Engineer Primary Skills ETL Fundamentals, SQL, BigQuery, Dataproc, SQL (Basic + Advanced), Python, Data Catalog, Data Warehousing, Composer, Dataflow, Cloud Trace, Cloud Logging, Cloud Storage, Datafusion, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures Specialization GCP Data Engineering

Brillio  22 days ago
DXC Technology jobs

Job Description: Senior Snowflake Data Engineer Job Location : Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai We are looking for a hands-on Senior Snowflake Data Engineer with strong experience

DXC Technology  23 days ago
Accenture jobs

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Accenture  23 days ago

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