4,621 data engineering consultant jobs in India.

... requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience. As a Senior Data Engineer at JLL Technologies, you will: Contributes to the design of information infrastructure, and data management ...

... aligned to long-term platform direction. Our teams operate in cross-functional squads, bringing together engineering, product, and analysis capabilities as a Data Platform Engineering team. We work as the core platform team supporting multiple markets in their business-critical Data platform and shared capabilities. Design, ...

... Azure Data Factory (ADF) solutions, leveraging knowledge of Databricks . Design, develop, and maintain data pipelines. Work on data ingestion frameworks and data transformation frameworks . Utilize expertise in the Azure platform, Big Data, and Cloud technologies . Implement and manage data solutions using Snowflake . ...

... developing scalable data ingestion pipelines, analytical data models, and high-performance data solutions. Experience with Microsoft Fabric, Azure Data Factory, DataOps practices, and performance optimization will be an added advantage. Design, develop, and maintain scalable data engineering pipelines using Databricks and ...

... scalable data pipelines and data systems that reliably ingest, transform, store, and serve large volumes of data. Partner closely with Software Engineering, Data Science, Product Management, and other stakeholders to understand data requirements and translate them into robust technical solutions. Define and own data quality, ...

... experience in the Big Data Ecosystem. Design, implement, and optimize highly performant data pipelines using Spark, Scala/Java, and Hive on platforms like Cloudera Data Platform (CDP) or other Hadoop echo systems. Take complete ownership of complex data engineering projects within the big data ecosystem, covering the entire lifecycle ...

... data tools: . Data ingestion: to ingest the data from a data source . Data processing: to process, transform and distribute the data to the target location . Data exposition : to distribute and expose the data hosted in the data platform . Data cleaning: to purge the data on the Lake in a secure way . Data tools: data formatter, ...

... mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations. Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery. Contribute to the development of internal frameworks, templates, and accelerators for data science ...

... attention to observational data quality and geospatial consistency. You will work closely with machine learning and software engineers on three core threads: 1. Data assimilation: contribute hands-on to data assimilation for weather forecasting models. 2. ML-ready datasets: procure, process, and create ML-ready global and ...

... maturity Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field - 10+ years of experience in data management, data governance, risk management / analytics, or a related field, ...

... requirements for key projects or assignments. What experience you need: Work location of this role will be Bangalore. Bachelor's Degree in Computer Science/Engineering or other related discipline. Minimum of 5 years of data management, engineering, and/or, data analysis experience. Minimum of 4 years of experience managing ...

... you. CrowdStrike is seeking an experienced Data Engineer to join the Finance Data and Analytics team. This role will report directly to the Manager of Data Engineering. This is a great role for an individual who is passionate about working with data and data systems and play a critical role in building finance data sources ...

About Position: A highly skilled Data Engineering professional with 6 to 8 years of experience in designing, developing, and maintaining robust data solutions. Proven ability to work across the full software development lifecycle, from requirement gathering to deployment and support. Adept at working in Agile environments ...

... Data Scientists to automate the entire ML lifecycle—from training and evaluation to seamless deployment—using Docker and modern orchestration tools. Real-Time Data Engineering: Build and optimize streaming pipelines (utilizing Apache Flink) and implement advanced analytical structures like Data Sketches for high-speed probabilistic ...

... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...

... Ensure strong documentation of data architectures, workflows, lineage, cataloging, and metadata management processes. Bachelor's degree in Computer Science, Data Engineering, or related field. - 5+ years of experience in data engineering, with 2+ years in a leadership role. - Expertise in SQL, Python, data modeling, and ...

... Owners and Operations teams Maintain technical documentation and knowledge bases Requirements - 3–8 years of relevant experience - Strong hands-on experience in data engineering - Practical cloud implementation experience - Strong Python, Spark and SQL skills - Good communication and client-facing skills - Ability to work ...

... practices for data engineering and fostering a culture of technical excellence. Familiarity with modern software development practices (Agile, CI/CD) applied to data engineering. 8+ years of experience in data engineering, with a proven record of accomplishment of building and scaling data-intensive applications. - Deep understanding ...

... Science, Statistics, Mathematics, Data Science, Engineering or related discipline Microsoft Azure certification Experience ~ Overall 5-7 years of experience in data management 2+ years of in-depth technical knowledge/expertise in the following Python, Azure services; Azure Data Lake, Azure SQL Data Warehouse/DB, Azure Data ...

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