308 reference data analyst jobs in Pune, India.

Data Scientist – Snowflake + Agentic AI / Cortex AI

Responsibilities : - Development and enhancement of Data Security Products (SASE)- Participate in a complete development life cycle starting with understanding various functional requirements, refine functional specification and develop for high throughput/ low latency requirements.- Influencing the features and direction ...

... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...

Job Summary :We are seeking an experienced SAP FICO Analyst with 4 - 6 years of hands-on experience in SAP ECC and S/4HANA environments. The ideal candidate will possess strong expertise in Financial Accounting (FI) and Controlling (CO) modules, including New GL, Accounts Payable, Accounts Receivable, Asset Accounting, ...

... data processing solutions using frameworks such as Apache Beam (Data Flow) and Kafka. Work with GCP services like BigQuery, Dataflow, and Spanner to optimize data pipelines and workflows. Design and model data structures for efficient data storage and retrieval. Oversee ETL processes to ensure seamless data extraction, ...

... https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ML and ...

... daysMandatory Skills : - Python- PySpark- SQL- Oracle EBS- Databricks / Azure Data Factory (ADF)Key Responsibilities : - Design and develop scalable data pipelines using Databricks and PySpark.- Develop and optimize complex SQL queries and data processing workflows.- Work with Oracle EBS data structures and support data integration ...

... Ensure database servers are securely configured, patched, and compliant with operational standards. Manage backup, restore, and maintenance strategies to ensure data protection and availability. Cloud Database Deployments Deploy and manage database environments within Google Cloud Platform. Provision database servers using ...

Role Overview : The ideal candidate should have strong hands-on experience with AWS data services, PySpark, SQL, ETL/ELT development, and large-scale data processing. You will work closely with data analysts, data scientists, technology teams, and business stakeholders to deliver robust data solutions that support analytics, ...

... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

... Data Platform & Orchestration is seeking a Lead Data Engineer to design and build next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and ...

... Have :- SAP Business Data Cloud data products / BTP administration.- SAP Databricks / Databricks (PySpark, Delta Lake, Unity Catalog).- Git-based workflows, CI/CD for data artefacts (abapGit, gCTS).- Microsoft Fabric / Power BI exposure.- SAP certification (Datasphere, HANA Cloud Modeling, or BW/4HANA). (ref:hirist.tech)

... Python LLM / NLP EDA (Exploratory Data Analysis) Cloud Platforms (AWS, Azure, GCP) Explainable AI At least 4+ years of relevant experience and track record in Data Science: Machine Learning, Deep Learning and Statistical Data Analysis. MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics ...

... maintenance of enterprise ETL processes for data platforms, for a global client base. Assist in the data delivery process, working alongside Data Engineers and Analysts to support on-time, accurate, high-value, and robust data solutions across multiple clients and industry sectors. Use SQL and other database technologies to ...

... (L3-L5) in ARIS, following enterprise modelling standards and conventions Translate business requirements into structured process maps and documentation Tool & Data Management Support integration of process data with related platforms (e.g., process mining, risk & controls). Bachelor's degree or equivalent experience in business, ...

... with vendors and other IT personnel for problem resolutio Proven hands-on network engineering experience of 6 – 8 Yr Cloud Networking – AWS & Azu reCisco Nexus datacenter Family switche network analytics too ob:You are proficient at managing networks. We have vast networks as a large technology company that specializes in ...

... redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready ...

... activities to validate mark-to-market differences and risk measure accuracy between front-office and risk systems. Validate and analyze market and reference data across asset classes, including Bonds, Commodities, IRD, FX, and Fixed Income products for Market Risk and FRTB. Maintain, query, and optimize risk data structures ...