Data Analytics Engineer 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 activities required based on general objectives and knowledge of overall architecture of product or solution. Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture. Collaborates within a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Analyzes data inaccuracies, identifies opportunities and supports the development of automated solutions to enhance overall quality of the enterprise data. Identifies problematic areas and conducts research to determine the best course of action to correct the data; identifies, analyzes and interprets trends and patterns in complex datasets. Works cross-functionally with different departments to assess, define, and develop report deliverables. Represents the software data engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less experienced staff members. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related di

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

Data Scientist — 6 Locations. Apply via Workday.

Data Center Infrastructure Specialist — Singapore-Suntec Tower, Singapore. Apply via Workday.

Data Science Analyst — NY - New York. Apply via Workday.

Job description • You will perform the day-to-day data centre/computer operations (such as running the batch programs, printing of reports, systems and data backup, tapes/cartridges preparation and storage, etc). • You will be required to pro-actively monitor the data centre systems' uptime and performance (such as Server, Midrange and/or Mainframe systems, Networking equipment, Telecommunication connections, Email and Security Systems, Data Centre environment, etc) to prevent any down time or low performance. • You will diagnose and log down hardware problems into incident ticketing system, coordinate the problem resolution with the respective vendor or second level support personnel. • You will liaise with the vendors and other technical teams on any data centre related maintenance and installation activities. • You will also assist to provide helpdesk and basic IT troubleshooting support. • You will also assist in other IT related projects implementations. Job Requirements: • "A" Level Holders, ITE Graduates, Diploma and Degree Holders are welcome to apply. Those with at least 2 years of working experience will be considered for senior roles. • Experience in operating Windows Server, UNIX and/or AS/400 systems. • Good in work prioritization and able to maintain the service levels. • A detailed and systematic person, following the data centre operating procedures. • Willing to perform 12-hour Shift Work.

Data Science AI/ML Fresher Openings in Hyderabad HIRING ALERT BACKDOOR OPPORTUNITY 9989612735 (99-89-61-27-35) (Nine Nine Eight Nine6one two73five) 99896one two seven three five Position: Entry-Level/ Fresher Java,Testing,Python,Devops,AWS,Fullstack, Data Scientist AI/ML, Cyber Security,Node JS,React JS..etc Contact Now: 9989612735 (99-89-61-27-35) Note: Terms & Conditions apply

We are looking for Data Entry Executive for our Trivandrum Location with the following skill set, Required Candidate profile ;- 1• Graduates with good Computer knowledge Responsibilities: - Format CVs to company standards - Edit for grammar and readability - Customize for job roles - Maintain confidentiality Skills: - Attention to detail - Communication skills - Proficiency in Microsoft Word - Ability to multitask Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest at

Dear Candidate, PFB JD: 1.Python Dev+ Gen AI Exp:-4-8 Loc:-Chennai/Hyderabad/Pune/Bangaluru 2. Description Data Scientist, AI/ML/GenAI/Agentic AI, Python Exp:-8-10 Loc:-Bengaluru Skills required Required Data Scientist, AI/ML/GenAI/Agentic AI, Python Notice period requirements Any notice period accepted; quick joiners preferred. If interested kindly share your updated profile to

Data Architect - Data Engineering 4D — Sec 59, Noida. Apply via Workday.

Data Engineer II — Pune, India. Apply via Workday.

Data Science AI Strategy, UK — 7 Locations. Apply via Workday.

Data Scientist 4 — India - Chennai, Comcast India Engineering Cent. Apply via Workday.

About the team The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the role We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers. This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities. In this role, you will Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems. Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger. Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability. Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on m

Data Security Engineer — Adelphi, MD. Apply via Workday.