... around difficult decisions. Required knowledge of Python, Django or Flask or FastAPI, Javascript/ Typescript, five local applications, legacy APIs, hundreds of database functions, cloud infrastructure, DevOps, system design and architecture. Deep experience in database architecture, query optimisation, and data pipeline design ...
... development with a minimum of 1 year of working experience as Google Cloud Platform (GCP) developer. - Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google's BigQuery. - Experience with the primary managed data services within GCP, including DataProc, Dataflow, ...
... SaaS CRM such as Salesforce into a self-hosted model, including reconciliation of migrated records. Redis, RabbitMQ or Kafka operations alongside a relational estate. PostgreSQL or SQL Server, and analytics or data-warehouse replica experience. Experience working within PCI DSS, GDPR or financial-regulator audit cycles.
... Colleges, and Individuals, along with the parallel Product MDM Style/Variant model. This is an offshore position operating in close collaboration with the onshore data architecture and platform teams. Strong hands-on experience building data pipelines and models on Snowflake, including warehouse sizing, resource monitors, RBAC, ...
... Databricks Unity Catalog for metadata management and access control. Experience deploying ML models at scale using MLFlow or similar MLOps tools. Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects. Knowledge of data warehouse design and star/snowflake schema modeling.
... Data Engineer will design, build, and maintain scalable data pipelines and solutions, ensuring high performance and reliability across COSMOS DB and related data platforms. Daily responsibilities include modeling and structuring data, implementing ETL processes, optimizing data storage and retrieval, and collaborating ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...
About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...
... Working with relational and NoSQL databases Ensuring data quality, consistency, and reliability Building data processing and transformation workflows Monitoring data pipelines and troubleshooting failures Supporting data warehouse and data lake environments Documenting data pipelines, schemas, and processes Collaborating with ...
... servers, OPENQUERY, and PolyBase Hunt down data quality gaps - stale feeds, broken joins, silently-changing source systems - and drive them to resolution with the data owner Extend the platform as the business grows: model new source domains into the warehouse and build data models analysts can use without needing a translator ...
... accuracy and compliance. Adept at collaborating with cross-functional teams and delivering solutions that align with business objectiv Data Analysis/Business Data Analyst/Technical Business Analyst Data Enginee ring (Data Governance(Collibra), Data Profiling, Data Modelling, Data Visualization) Data Warehouse Expertise ...
Job Title: Teradata Database Administrator (DBA) Experience: 6+ years Location: Remote (Hyderabad/Bengaluru/Chennai) Contract Duration: 3-4 months with possible extensions It is not a SQL/Query-level performance tuning or indexing role. Experience managing workloads on Teradata Vantage (On-Premises, AWS, Azure, or Google ...
... cloud-native data services: Data lakes, data warehouses, and analytics services Identity and access management for data systems Data & Analytics Understanding of data governance and security principles Experience with data quality frameworks and monitoring Knowledge of dimensional modeling and data warehouse design Familiarity ...
... Technology, Business Administration, or a related field. - 10+ years of experience in Data Engineering, ETL, or Data Warehouse environments. - 3+ years leading data engineering teams. Data engineering Strong ETL/ELT development experience. Experience in C#, SSIS is must. Data warehouse architecture and design. Data integration ...
... (staging, intermediate, mart layers / medallion architecture) aligned with dbt and Matillion best practices.- Lead ingestion of structured and semi-structured data from APIs, flat files, cloud storage (Azure Data Lake, AWS S3), and databases into Snowflake.- Optimize Snowflake for performance and cost : warehouse sizing, ...
... for our next Data Intelligence Manager to have the following skills and experiences: - 3-5 years of experience in a data analytics, business intelligence, or data intelligence role - Strong proficiency in SQL and hands-on experience building dashboards in Power BI - Experience working with large datasets across multiple ...
... including HDFS, Hive, Spark, and Impala. Experience building and supporting Data Lakes, Data Warehouses, and Enterprise Data Platforms. Strong experience in data modelling, source-to-target mappings, data transformation, and data integration. Knowledge of data quality, data governance, metadata management, and data security ...
... external business functions to ensure global master data is maintained at the highest quality level. Key Performance Measures Meeting Project Milestones Master Data Accuracy On time delivery of Data analysis to stakeholders Knowledge, Skills And Experience Data Analysis & Problem-Solving Ability to analyze large datasets, ...