2,560 big data jobs in India.

... performance, scalability, and cost efficiency Design and operate cloud-native data platforms on AWS, Azure, or GCP Leverage managed services such as S3/ADLS/GCS, EMR/Databricks, BigQuery/Redshift/Snowflake Drive cost optimization strategies for large-scale data workloads Implement secure data access controls aligned with enterprise ...

... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...

... modeling, data management, SQL, and data governance tools.- Conduct root cause analysis for data defects and support resolution efforts.- Develop and maintain data quality standards, policies, and procedures.- Collaborate with business stakeholders to define data requirements and metadata.- Support data lineage tracking ...

... competence for managing, coaching, and developing a team. Experience in stakeholder management including CXO-level interactions Proficient in MS-Office Suite, data analysis & validation. Experience in using databases such as one-source, Thomson Reuters, Lexis Nexis etc. Master's (Management, Economics, Finance, MBA etc.) ...

Position : Senior Databricks Data EngineerEmployment Type : Full TimeLocations : Bangalore / Chennai / Hyderabad- 10+ years of experience in Data Engineering, Data Platforms, and Analytics, with 10+ years of overall consulting experience in enterprise technology environments.- Strong hands-on experience with Databricks, ...

... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...

... Computer Science, Information Systems, Data Analytics, or related field. Experience: Minimum 5 years in data analysis, reporting, or business intelligence roles. Proficiency in Tableau, Power BI, or Grafana. Strong knowledge of SQL, data modeling, and relational databases. Familiarity with ETL processes and data pipelines.

... development, tools, and procedures; Provide end-user support including setup, installation, and maintenance for applications. Bachelor's Degree in Computer Science, Data Science, or a related field; Internship experience in Data or Software Engineering; Knowledge of developing dimensional data models and awareness of the advantages ...

... EMR, and other AWS services.- Develop PySpark-based data processing applications for large-scale distributed data workloads.- Write optimized SQL queries for data transformation, analysis, and reporting requirements.- Implement data ingestion frameworks to process data from databases, APIs, files, applications, and other ...

... from large, complex datasets. You will collaborate with data architects, analysts, and business stakeholders to deliver scalable, secure, and high-performance data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, ...

... environments. Database Advanced SQL Server expertise. Query tuning and performance optimization. Data modeling (star schema, dimensional modeling). Cloud and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration ...

... 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 ...

Job Title: Data Analyst Trainer Role Overview Looking for an experienced Data Analyst Trainer with 3–4 years of relevant experience and strong expertise in data analytics, business intelligence, programming, machine learning, and Generative AI. The ideal candidate should have a proven track record of conducting training ...

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web ...

... solutions to enhance reporting capabilities (Power BI, Power Query, AI) Collaborate with IT and other departments to integrate automation tools and ensure seamless data flow Complexity: Significant level of complexity of organization supported and business impact Will be required to use best practices and knowledge of internal ...

... Experience : +6yrs About the Role We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform. The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, ...

... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... AWS or Azure. Strong programming skills with a focus on solving technical challenges and delivering elegant solutions. Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data — helping large ...

... https://jobeax.com/link/hs6VQjYW4dlN5SYR Skillset:- Demonstrate proficiency in writing complex SQL queries to extract and transform data from relational databases.- Utilize Python for data manipulation, cleaning, and automating repetitive analytical tasks.- Exhibit advanced expertise in Excel for financial modeling, data validation, and ad-hoc reporting.- ...