2,187 data warehouse jobs in India.

... 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 ...

... 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 ...

... Power Platform (Power BI, Power Apps, Power Automate ).. - Data Governance & Quality - Ensure data quality, consistency, and integrity across systems. - Define data standards, reporting structures, and governance mechanisms. - Support continuous improvement through data validation and auditing. Partner with Engineering Managers, ...

... FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience with dbt (data build tool) for transformation layer management and semantic modeling. - Familiarity with data lakehouse ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

... Skills, Education, or Experience - Experience developing and supporting data integration, ETL/ELT processes, data pipelines, and data transformations using modern data platforms and cloud-based technologies. - Working knowledge of data modeling, SQL, data quality practices, metadata management, and data governance principles ...

... 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 ...

... drill-down dashboards enabling business leaders to analyze trends and root https://jobeax.com/link/xO27IwB87boM1kxT Engineering & Automation : - Consolidate data from Excel, CSV, databases, APIs, SharePoint, and business systems.- Develop reusable data models and reporting pipelines.- Automate data collection, cleansing, ...

... analytics, BI self-service and AI use cases.- Databricks Workflows) and compute engines (Spark, SQL, Python).- Data Quality, Governance & Observability : - Implement data quality checks, validations, and monitoring to ensure reliability and trust in data products.- Contribute to data lineage, metadata management, and documentation.- ...

... 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.- ...

... multiple data sources, and building semantic data layers for analytics and https://jobeax.com/link/eQK4uag79A3cPnLy Responsibilities :- Design and develop scalable data virtualization solutions using Denodo.- Create and maintain Base Views, Derived Views, Joins, Unions, Interfaces, and Data Services.- Integrate data from multiple ...

... datasets and ensure strong data contracts. Support production operations, including on-call rotations for critical pipelines as 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 ...

... Drive end-to-end insights creation-to-consumption lifecycle, leading business problem definition, designing and delivering the solutions. Oversee the mapping of data sources, data movement with the goal of ensuring data quality. Active participation in the trouble shooting issues including root cause analysis. Designing documents ...

... Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors. About the role:- 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 ...

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 ...

... written and verbal communication skills in English. Experience with cloud technologies and distributed systems. Experience with data transformation frameworks and data pipeline orchestration tools. Experience managing large volumes of data and optimizing data processing. Understanding of event-based architecture, data streaming, ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

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, ...

... of CI/CD tools. Govern end-to-end data architecture with a focus on data quality, security, compliance, and lifecycle management. Build efficient and scalable data models ensuring optimal query performance and responsiveness. Ensure seamless data flow across ingestion layers, data models, and visualization outputs. Conduct ...

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