... SCOPE, Scala, SQL, Python, or C# Data extraction across a wide variety of data sources Data cleaning, preprocessing, and transformation for further analysis by data analysts Data Validation framework from source to endpoints ensuring data quality and integrity Enable the Data Scientists and Analysts to do more with data across ...
... Shift Timing: US–Canada Shift (Night Shift – aligned to North American time zones) • Working Hours: 10 hours per shift (including breaks as per company policy) • Work Mode: 100% Work from Office • Transportation: Company-provided pick-up and drop facility (for night shifts) Role Summary: Entry-level outbound sales role responsible ...
... Database backup and recovery. Database performance tuning and optimization. High availability and disaster recovery. Database security and access management. Database monitoring and capacity management. Database patching and upgrades. Data migration and database maintenance. Infrastructure Enterprise IT Knowledge Working ...
... Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, 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) If you have a disability and need a workplace accommodation ...
... robust data ingestion processes, integrating with third-party APIs and on-premise systems. - Contribute to documentation and continuously improve engineering and data quality processes. 4+ years of experience in data engineering, including at least 1 year with on-premise systems. - Proficiency in Python for data workflows and ...
... and maintain scalable data pipelines for data processing and transformation Build and manage workflow orchestration using Apache Airflow Develop and maintain data models and transformations using dbt Work with BigQuery or similar cloud data warehouses for data storage and querying Manage and interact with cloud object storage ...
... (Airflow/Dagster/Step Functions) and CI/CD for data workloads. - Strong data quality/observability practices (tests, monitoring, lineage; Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; able to work with mixed audiences and translate needs into reliable data interfaces. - DSP/SSP/exchange/RTB concepts and data flows. ...
DATA ENGINEER EXPERIENCE - 5-8 yrs WORK MODE - HYBRID Data Pipeline Development : Design, build, and optimize scalable ETL/ELT pipelines to process and transform data from various sources into Snowflake. Data Modeling : Build and maintain data models within Snowflake for optimized querying and reporting. Cloud Infrastructure ...
... account management capabilities, such as pipeline follow-up, upselling, and cross-functional collaboration. Comfort with technology platforms, including basic data entry, troubleshooting, and user training. Prior experience in SaaS, residential communities, or security solutions is an advantage. Ability to work in a hybrid ...
Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...
... organize, validate, and analyze collected datasets. Write database queries to pull, manage, and analyze information. Present data findings clearly to the team. Work with cloud-based databases and support data retrieval and validation activities. Understand how the software/application works and how data impacts different ...
... frameworks. - Experience working with Azure Cloud, specifically Runtime Fabric (RTF) or similar containerized environments. - Solid understanding of API design, data integration patterns, and middleware architecture. - Experience troubleshooting integration workflows and resolving production issues. - Familiarity with cloud-native ...
... external services. Strong proficiency in Gen AI, Azure Open AI, Chatbots, LLM, RAG, Langchain, Python and RESTful API development. Experience with chatbot frameworks (e.g., Microsoft Bot Framework, web-based chat widgets). Understanding of authentication, session management, and Azure-based web application security. If this ...
... questions when needed. - Professional written and verbal communication skills. - Ability to handle confidential or sensitive information appropriately. - Experience working with Salesforce CRM a plus - Prior experience in data entry, operations support, order processing, procurement support, sales support, or administrative support. ...
... roadmap for the data platform, aligning with broader engineering and product strategy. Design and build scalable, fault-tolerant data pipelines and ETL/ELT frameworks that support batch and real-time data processing at enterprise scale. Architect and evolve the data lakehouse , data warehouse and data integration layer using ...
... at DTCC will consult with information technology, data analytics, business/ product creation and development staff to design and implement the blueprint of a database to store information for a specific system that will support the work of the enterprise. The DM will develop a detailed knowledge of the underlying data as ...
... Procure-to-Pay, Record-to-Report, and Plan-to-Produce — and apply that context to ground AI solutions in real enterprise reality. - Work with modern cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP, gaining hands-on experience with scalable AI workflows. - Collaborate across ...
... Scientist to uncover valuable insights from vast amounts of data, driving smarter decisions and enhancing our products. This role offers the opportunity to apply data mining techniques, statistical analysis, and build high-quality prediction systems integrated with our innovative healthcare solutions. You will work on building ...
... and replay.- Support API versioning, schema evolution and backward compatibility for live interfaces.- Contribute to reusable integration components and frameworks to reduce bespoke development across institutions.3. Data Validation & Quality :- Implement validation and data-quality checks for inbound and outbound data ...
... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...