1,986 data warehouse jobs in India.

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... integration experience is a plus. Certification in public cloud (Azure or AWS) Typescript programming is a plus. This is an opportunity for a highly motivatedData Engineer to join the Event Streaming and Data Replication platform. We are a diverse, open, and transparent community where you will contribute to powering the ...

This role is for one of our clients Industry: IT Services and IT Consulting Seniority level: Mid-Senior level Min Experience: 7+ years Location: Bengaluru, Karnataka, India, Pune, Gurugram, Haryana, India JobType: full-time

... understanding of GCP data services: Expertise in using GCP services such as Cloud Dataflow, Cloud Dataproc, BigQuery, Cloud Storage, Data Catalog, and Data Fusion. ● Data modeling and architecture: Proven experience designing and implementing data models, including dimensional modeling and data warehousing principles. ● Data warehousing ...

... positive business impact. The Data Associate must have a passion for data, efficiency, and accuracy and will work under the direction of Operations manager and Sr. Data Associates. Specifically, the Data Associate will: - Process annotation & data analysis tasks with high efficiency and quality in a fast paced environment - Deliver ...

... Being Successful in This Role Minimum 5 years of experience in software development and system design Minimum 2 years of experience as a Data Engineer focused on data modelling, governance, and platform administration. Expertise in Snowflake or similar MPP databases. Strong SQL skills. Experience with multiple database technologies ...

... depending on experience. Full-time, permanent post Clarksons Research , the data and analytics arm of Clarksons, are market leaders in the provision of independent data, intelligence and analysis around shipping, trade, offshore and maritime energy transition. Millions of data points are processed and analysed each day to provide ...

... journey data. It turns compliant data collection into actionable insight that helps improve customer reach, engagement, conversion and website quality. Protect data quality: Configure and validate tracking so customers and Web teams can rely on their website data. Provide clear operational support to marketing and product ...

... Redshift manage WLM queues, distribution/sort keys, materialized views, and query performance proactively identify and resolve performance bottlenecks. Manage big data lifecycle - design data models and schemas (star/snowflake), enforce data partitioning and retention policies, implement data quality checks, and ensure data ...

... competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview : Zynga's data science and analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We ...

... experience in Enterprise Data Architecture, Data Engineering, Data Governance, Information Management, and Enterprise Integration.- Strong expertise in Enterprise Data Architecture, Data Governance, Master Data Management (MDM), Metadata Management, Data Modeling, Data Quality, Data Lineage, and Data Lifecycle Management.- Hands-on ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... intersection of data, financial services, and stakeholder engagement. You will collaborate with asset managers, data suppliers, and internal teams to drive measurable data growth, improve data coverage, and support strategic onboarding initiatives. If you enjoy solving complex data challenges, building strong relationships, and ...

... workflow orchestration, data pipeline design, and Python-based data https://jobeax.com/link/QJthsbNyq6dgbViB Responsibilities :- Design, build, and maintain ETL/ELT data pipelines using Apache Airflow.- Write clean, efficient, and reusable Python code for data processing and transformation.- Use Jupyter Notebooks for data exploration, ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... Development: Writing and optimizing complex Data Analysis Expression (DAX) for measures, calculated columns, and intricate KPIs to handle large datasets. • ETL & Data Transformation: Developing sophisticated data transformation logic, for instance using Power Query (M language), and building reusables dataflows and pipelines. ...

... generate actionable insights, Ensure data quality, security, and governance across all analytics systems, Collaborate with cross-functional teams to understand data needs and deliver impactful solutions Requirements ~3+ years of experience in data engineering, analytics, or BI-focused roles, Strong proficiency in SQL and ...

Requirements What You Will Do Analyze Business Requirements. Analyze the Data Model and perform GAP analysis with Business Requirements and Power BI. Design and model Power BI schema. Transform data in Power BI, SQL, or Microsoft Fabric. Create DAX formulas, reports, and dashboards. Strong experience with Power BI or Microsoft ...

... and digital trust capabilities. Our flexible and modularized methodology has been utilized by numerous global organizations to build a broad global privacy, data protection, and/or digital trust operations and includes the following phases and activities. Data lifecycle management Policy fine-tuning Cyber Data Operate ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...