... real-time analytics and reporting - Leveling up our platform, including enhancing our automation, test coverage, observability, alerting, and performance As a Data Engineer, you will work with the development team to construct a data streaming platform and data warehouse that serves as the data foundations for our product. ...
Description : EXP : 8+yrsLocation : ChennaiRole : Technical Architect Job Summary : We are looking for an experienced Snowflake & Data Warehouse Architect to design and optimize scalable cloud-based data warehouse solutions. The candidate should have strong expertise in Snowflake, modern data warehousing principles, ELT ...
... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...
... Posted 2 weeks ago Job Be an early applicant About the job Job Purpose: Design and implement scalable data engineering and data warehouse solutions while managing data schemas, SQL query tuning, and code reviews. Who You Are: - 5+ years of experience in Data Engineering, with strong knowledge of Data Platforms and Data Warehousing ...
Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- ...
... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...
... normalisation, de-normalization, joining of datasets.- Expert level experience in creating a scalable data warehouse including Fact tables, Dimensional tables and ingest datasets into cloud based tools.- Identify, design, and implement internal process improvements including automating manual processes, optimising data delivery and ...
... Strong knowledge of Data Ingestion, Connectors & Integration Frameworks - Advanced SQL and Performance Tuning skills - Experience building and optimizing scalable data pipelines - Understanding of Data Architecture & Data Warehouse Concepts - Ability to collaborate with global/onshore teams and translate business requirements ...
... efficiency. 10+ years of experience in Data Warehouse related projects and implementing multiple end-to-end DW projects in Big Data environment Experience of building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage Experience of building Nifi pipelines Experience of working with Databases like Oracle, ...
... and maintain scalable batch and real-time data pipelines for fraud analytics. Develop and optimize Spark-based data processing frameworks. Implement efficient data ingestion frameworks and integrate multiple data sources. Build and support Snowflake data warehouse and data lake solutions. Develop data models for reporting, ...
... supporting data solutions on AWS . The role requires solid experience with Amazon Redshift, S3, AWS Glue, Amazon AppFlow, Lambda, and SQL . You will work on data ingestion, transformation, data pipelines, data warehouse solutions, and integrations across different enterprise data sources. This is a hands-on role, so we ...
... infrastructure. Maintain documentation and contribute to architecture reviews. Participate in incident response and operational excellence initiatives for the data warehouse. Continuously learn mindset and apply new Hadoop ecosystem tools and data technologies. Required Skills and Experience - Proficiency in Hadoop ecosystems ...
... connectors or processing frameworks. - Deep understanding of Apache Airflow and ability to design and manage complex DAGs. - Solid SQL skills and familiarity with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery). - Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies. - Exposure ...
... help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience - Proven production data engineering experience at scale - Strong Python and SQL skills - Deep analytical warehouse expertise: dimensional ...
... teams and engineering execution, ensuring data infrastructure directly drives revenue and AI/ML https://jobeax.com/link/q3usO6A8ieWThPkm Responsibilities :- Data Platform Ownership : Design and scale a multi-region data warehouse architecture (Snowflake/BigQuery/Redshift) and manage complex ingestion pipelines from marketplaces, ...
... Enterprise Data Warehouse and Modern Lakehouse Platform- AWS-based Enterprise Analytics Platform- Apache Iceberg Lakehouse on Amazon S3 Tables- Enterprise Metadata Management and Data Governance- Enterprise Semantic Layer and KPI Framework- Scalable Data Platforms for Business Intelligence, Advanced Analytics, and AI- Enterprise ...
... dimensional modeling, star schema, snowflake schema, and modern data warehouse architectures. Experience implementing cloud-native lakehouse architectures and modern data mesh concepts. Relevant cloud, data engineering, or big data certifications. Exposure to Generative AI, AI/ML data platforms, and modern analytics ecosystems. ...
... performance by managing compute resources, clustering keys, and materialized views to reduce latency for end-users.- Partner with business stakeholders to define data requirements, ensuring that the data warehouse architecture aligns with long-term strategic business objectives.- Mentor junior data engineers and establish best ...
... performance by managing compute resources, clustering keys, and materialized views to reduce latency for end-users.- Partner with business stakeholders to define data requirements, ensuring that the data warehouse architecture aligns with long-term strategic business objectives.- Mentor junior data engineers and establish best ...
... optimizing and maintenance of data engineering solution components for our customers. You will be required to have strong hands-on experience in implementing complex data engineering solutions on AWS, with a good understanding of data warehouse, data lake and lake-house architecture https://jobeax.com/link/YxCLdS8ZpU9JWq8q : Chennai ...