9,330 data warehouse engineer jobs in India.

... authentication, authorization, API integration, and security concepts in cloud-based enterprise environments.- Ability to work across application, security, and data engineering teams to ensure successful adoption and integration of the authorization framework.- The ideal candidate will combine strong architectural understanding, ...

... usage onsite or in the cloud. Contributes to the setting of standards for data and BI platforms and ensures conformance to these standards Job title: Senior Data Engineer Job Description: We are looking for a motivated Databricks Senior Data Engineer to support the delivery of data engineering solutions across Databricks ...

... interface contracts, test datasets and data-quality documentation. Support performance tuning, partitioning, indexing, data retention, archival and privacy-aware data handling. Minimum 7 years of experience in data engineering, ETL/ELT development, data warehousing, data platform engineering or related roles. Strong SQL skills ...

Data Engineer Working on top of worldwide research content, actions & knowledge, our Information Discovery, Machine Learning & Data Engineering teams explore new ideas and develop novel, AI-powered solutions which help publishers & researchers to know more, do more & achieve more. At the same time, our goal is to highlight ...

... years of experience in data engineering, analytics engineering, or data infrastructure roles ● 3+ years of experience managing multi-team or multi-functional data organizations Deep expertise in modern data stack tools and concepts, including ELT pipelines, cloud data warehouses, dbt, orchestration frameworks, and data ...

... data using natural language and receive accurate, contextual answers in seconds. This initiative spans multiple business domains and requires a robust, scalable data platform that delivers fresh, validated, and well-documented data at enterprise scale. We are seeking a Data Engineer II to own and scale the data platform powering ...

... backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, ...

... lineage, and quality controls, enabling self-service consumption and consistent business outcomes across multiple consumers. Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers to support delivery of AI-ready data products by ensuring data is reliable, well-structured, and optimized ...

... experience in data engineering Open to candidates from any academic background with relevant experience Technical Expertise Proficiency in building scalable data pipelines and warehouses Experience with Python, Scala, PySpark, or PL/SQL Hands-on experience with cloud platforms (e.g., AWS, S3, Redshift, Glue, etc.) Familiarity ...

... - Collaborate with Data Scientists, AI Engineers, Product Owners, Business SMEs, and Platform teams.- Preferred Qualifications : - 5+ years of experience in data engineering and building production-grade data pipelines.- Strong hands-on experience with data platforms such as Databricks.- Solid knowledge of data modeling, ...

... Teradata, Python and Julia.- The candidate must have experience in Python and Julia for data processing, analysis and automation.- 2-4 years of experience in Teradata, Python, and Julia.- Strong experience in data engineering and data analytics.- Good knowledge of Provider domain.- Experience working with Teradata databases.- ...

... deployment processes using version control and automation tools.- Work closely with data engineering, BI, application, and business teams to deliver reliable data solutions.- Monitor production environments and resolve performance, connectivity, and data-related https://jobeax.com/link/EHBpeKFDokd307Vo Skills :- 6+ years ...

... needed. Hands-on expertise in GCP data stack: BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Storage, Pub/Sub, Cloud Composer (Airflow). Advanced SQL and data modeling: star/snowflake schemas, slowly changing dimensions, partition strategies. Proficiency in Python, Scala, or Java for data engineering. Experience with ...

... We are looking for a Data Engineer II (SDE-2) to join our data team. The ideal candidate will be a play a key role to develop of high performant and scalable Data Lake-house , moving us toward a world of sub-minute data latency and unified batch/streaming compute. This is an engineering-heavy role where you will manage ...

Role: Data Engineer - Power BI Modelling Level: 7-15 years Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment. Translate reporting requirements into performant data models. Ensure data quality. Validate accuracy ...

... through their entire lifecycle, including production and incident management. Required qualifications, capabilities and skills Formal training or certification in data engineering concepts and applied experience. Recent hands-on professional experience as a data engineer. Experience coding in a recent version of Python. Experience ...

The Role: Senior Data Engineer The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute ...

Role: We're looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions. You'll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake—ensuring data is reliable, accessible, ...

... that support strategic decision-making. Perform ad-hoc analysis and maintenance tasks. Education & Experience Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Minimum 3 years of experience in data engineering, analytics, or business intelligence Experience in Kubeflow ...

... Architecture : Lakehouse, distributed data processing, scalable data platforms- Data Processing : Batch processing, streaming, ETL / ELT, CDC, incremental processing- Engineering : Git, CI/CD, automated testing, code reviews, observability, DataOps- Data : Data modelling, curated datasets, metadata-driven frameworks, data quality ...