2,153 data warehouse jobs in India.

Big Data Full time Work at office

Data Engineer Start Date Starts...  ...job Key responsibilities: 1. Design, develop, and maintain ETL/ELT data pipelines. 2....  ...Amazon Redshift Artificial intelligence Big Data Analytics BigQuery Database Management...

Big Data Full time Hybrid work

Big Data

Big Data Full time

Big Data Full time

Big Data Immediate start

Big Data Full time

Summary #LI-Hybrid Location: Hyderabad Are you ready to shape the future of data engineering in life sciences? As a Data Engineer Manager, you’ll lead the data engineering team and support the data science and/or reporting & analytics team inbuilding scalable... Hybrid work Work at office 3 days week

INTERNAL SDPM team Project Supply Chain Team Site Supply Chain functions (Procurement, Warehouse, Serial Production co-ord, Method Logistics etc..) EXTERNAL Material supplier's Logistics Provider's OVERALL PURPOSE OF THE ROLE : Establish robust and agile Supply Chain through Process adherence, establishing routines & People ...

... campaigns and visibility: banners, category deals, sale-day placements and sampling. - PO execution end to end: acceptance, dispatch coordination with our warehouse, dark-store inwarding and fast discrepancy resolution. - A weekly performance tracker on GMV, growth, fill rate, availability and ad spends, shared straight ...

... integration frameworks and accelerators.- Design and implement REST, SOAP, and event-driven integrations.- Integrate enterprise applications such as ERP, CRM, MES, Data Warehouse, and cloud applications.- Guide teams on DataWeave transformations and API https://jobeax.com/link/ctYp9IRonC7sgIz2 Management & Security :- Define ...

... functional specifications. System Configuration Configure SAP SD components: sales order processing, pricing, billing, shipping, and credit management. Set up master data (customer master, material master, condition records). Ensure seamless integration with other SAP modules like MM (Materials Management), FI (Financial Accounting), ...

... layers (such as Operational Data Stores) to handle simultaneous transactional writes and high-volume reads seamlessly. Design, optimize, and own source-aligned data products, managing the extraction and processing of raw JSON application data into our cloud data warehouse (Snowflake), while also building backend systems, ...

... Service Collection roadmap. If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on! Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from large amounts of data which ...

... influencers that drive it. We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding ...

... including DORA metrics (lead time, deployment frequency, MTTR, change-failure rate), code coverage, cyclomatic complexity targets, and P99 latency standards.- Data Governance & Enterprise Security: Drive the strategy and implementation for enterprise data governance, metadata management, data lineage, and strict GCP security ...

... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...

... workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality. To be successful, you will: - Data Delivery Lead (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS), Cloud SQL, - Good knowledge of Banking Data Domain, delivery tracking, End to ...

... and classification Drive adoption of our Data Cataloguing and Data Quality Platform while managing data access requests and agreements Ensure compliance with Data Golden Rules through enforcement mechanisms and ongoing monitoring Data Governance — developing level; establishing policies that ensure data integrity and regulatory ...