Data Centers And Powered Land Sourcing Lead in India

The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Source: Adani Group | Job ID: 44282

... Facility: SBS IS&T Global SA SA Qualification: Graduate Job Code: IJP567353 | Source: Sodexo India

Sr Cloud Data Engineer, SMAI — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Senior /Staff Data & Cloud Platform Engineer — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Test Engineering Data Technician (EDT) — Sanand - 303A - AT/SSD/MOD, India. Apply via Workday.

Associate Distribution Data Management Analyst — Hyderabad, Telangana, India. Apply via Workday.

Job Title: Data Analyst (Finance) Location: Noida / Gurgaon About the Role: We are looking for a Data Analyst with prior experience in a Finance team to help analyze financial data, track payments performance, and automate daily reporting. You will work closely with Finance, FP&A, and Product teams to drive data-backed financial decisions. Key Responsibilities: ● Dashboards & Reporting: Create and maintain Power BI/Tableau dashboards to track financial metrics like revenue, margins, transaction volumes, and operating costs. ● Data Analysis: Query large databases using SQL to understand transaction trends, cost structures, and profitability. ● Reconciliation & Auditing: Reconcile transaction data across banks, payment gateways, and accounting records to ensure accuracy. ● FP&A Support: Help Finance and FP&A teams with monthly closings, budgeting, variance analysis, and revenue forecasting. ● Process Automation: Automate routine financial reports using SQL and Python to reduce manual Excel work. What We Are Looking For: ● Experience: 2–4 years of experience as a Data Analyst within a Finance, Payments, or FinTech environment. ● Technical Skills: Strong proficiency in SQL and Excel. Visualisation dashboards or business intelligence tools (Tableau, Power BI etc) ● Finance Knowledge: Solid understanding of financial basics, profit & loss (P&L), payments/settlements, and unit economics. ● Education: Bachelor’s degree in Finance, Data Analytics, Engineering, Economics, or a related field.

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, Singapore and São Paulo. The Role Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. As a Senior Lead of the Alternatives Data Operations, you will lead the operations function that is responsible for the human-in-loop review of Private Funds documents, ensuring clients' Alternatives data is processed, validated, and available in Addepar in a timely manner. You will manage a team of Alternatives Data Ops analysts who review Private Fund statements, modify data that has been incorrectly extracted by our machine learning models, and reprocess data within SLAs. In this role, you'll own the operational strategy, team performance, and continuous improvement of the Alternatives Data Ops function—a critical component of Addepar's Alternatives offering success. Your responsibilities will include b

Opportunity Overview: We are seeking a Sr. Data Engineer to help drive the technical vision of our Data Engineering team as we scale our infrastructure, services, and architecture. This role is ideal for someone who blends deep technical expertise with strategic thinking and cross-functional influence. As a Sr. Data Engineer, you will partner closely with other data and analytics engineers, architects, product leaders, and business stakeholders to evolve our data infrastructure in support of high-trust, scalable, and business-aligned outcomes. You’ll also serve as a force multiplier across teams; raising the bar for data engineering excellence and accelerating the maturity of our data platform capabilities. What you’ll do: Develop, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from multiple source systems into enterprise data platforms. Ensure pipelines are scalable, reusable, fault-tolerant, and optimized for batch and near real-time processing requirements. Develop interactive dashboards, scorecards, and KPI reporting solutions using BI tools. Deliver executive, operational, and analytical reporting aligned with business goals. Identify repetitive manual reporting processes and automate them using scripting, workflow orchestration, scheduling tools, and dashboard refresh mechanisms to improve efficiency, accuracy, and turnaround time. Collaborate with internal stakeholders and leadership teams to understand data integration and reporting needs, define KPIs, document business rules, and translate requirements into scalable technical solutions. Implement data validation checks, reconciliation controls, lineage documentation, metadata standards, and governance policies to maintain trusted, secure, and compliant data assets across the organization. Provide technical guidance, code reviews, best practices, and mentor junior team members. Investigate and resolve production incidents related to pipelines, delayed reports, data mismatches

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Role Overview IFO (Inter-State Field Officer) is a hardcore field operations role responsible for interstate movement, inventory handling, business operations support, and transportation of recording data/devices across cities. This role involves continuous road travel, coordination with city teams, inventory verification, and ensuring safe movement of company assets and recording data. Ideal for highly responsible, street-smart candidates who are comfortable with frequent travel and operational execution. Key Responsibilities Travel across cities/states by road for operational requirements Collect and safely transport recording data (SD cards) from city teams Transport company devices/inventory between locations when required Perform inventory verification and device checks at city locations Ensure safety and accountability of company assets during travel Coordinate with Data Captains and city teams for smooth operations Verify operational readiness and reporting from field teams Resolve on-ground operational issues during travel Support business recording operations when required Maintain proper handover/takeover process for inventory and data Travel Requirements Extensive interstate road travel is mandatory Travel may happen on alternate days regularly Continuous travel for multiple days may be required based on business needs All travel will be company-sponsored Candidate must be comfortable with long-distance road travel and flexible schedules If no travel is assigned, candidate must report to offic

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. As an Insurance Senior Specialist, you will serve as the subject matter expert for Zocdoc's insurance taxonomy and related systems. You will own the policies, processes, and quality standards that ensure our insurance data is accurate, scalable, and aligned with product strategy. This role combines deep expertise in the U.S. health insurance landscape with strong analytical thinking to improve the patient search experience and strengthen the integrity of our insurance database. You will partner closely with Product, Operations, and Engineering teams to define insurance policies, monitor database health, and drive continuous improvements. Your work will directly influence how patients find in-network care by ensuring that our insurance taxonomies, carrier and plan coverage, and provider matching systems remain accurate, scalable, and responsive to changes in the healthcare market. A Day in the Life of a Product Operations Specialist: Define Insurance Policies & Standards: Own the policies governing insurance carriers and plans across the Zocdoc marketpl

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Senior Manager, Data & Analytics Products owns a portfolio of enterprise-critical Tier 1 products from strategy and discovery through delivery, adoption, service performance, and value realization. The role connects executive and business priorities to product roadmaps and leads across product, data engineering, analytics, governance, architecture, security, operations, and business teams. The ideal candidate is a data and analytics leader with strong product judgment: commercially grounded, technically fluent, practical in the application of AI, and skilled at aligning senior stakeholders and global delivery teams. Success requires the ability to make enterprise data trusted, analytics products useful, and complex strategic programs executable - without requiring hands-on engineering or model development. WHAT YOU'LL DO Tier 1 insights product portfolio strategy. Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics, and multi-horizon roadmaps for the company's most important data and analytics products. Balance run, grow, and transform priorities across the portfolio. Discovery and product lifecycle. Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing. Translate important business questions into product requirements, priorities, roadmaps, success measures, and an ongoing improvement a

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augm

SR ENGINEER, DATA,SMAI — Hyderabad - Phoenix Aquila, India. Apply via Workday.

Sr. Data Management Specialist — Hyderabad - Phoenix Aquila, India. Apply via Workday.