... & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in performing data extraction, data transformation, building and managing data pipelines to ensure data availability for ML & LLM ...
... 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 ...
... pgsql, tsql, plsql- Working knowledge on Data loads, ETL and data migrations- Expertise in building complex stored procedures, functions- Should have exp in database auditing and identifying performance bottle necks.- Good understanding on application lifecycle.- Expertise in database setup, user management & deployments- ...
The EDO Sustainable1 DATA OPERATIONS team at S&P Global is a project-focused, international group dedicated to excellence in sustainability data management. We are responsible for one of the world's most complete datasets on corporate sustainability, supporting global investors, corporates, and stakeholders with in-depth ...
... expertise in database architecture, replication, clustering, performance tuning, and high-availability setups, along with hands-on experience in developing complex database applications, triggers, and stored procedures. Key Responsibilities Database & Cluster Management: Design, develop, and maintain databases and database applications ...
... databases for development, testing, production, and training. Designing and implementing database solution for support High Availability, Disaster Recovery, and Database Capacity Management. Be part of a global team that provided 24/7 databases support. Help Identify database tools which enable efficient database development, ...
... science, Information Security, or related field. - Relevant certifications such as CISSP, CEH, or OSCP are a plus. Responsibilities - 10–12 years of experience in data loss prevention, data discovery/classification, and database/data security. - Experience with DSPM tools and integration in hybrid environments. - Familiarity ...
... experience preferred. - Implement data transformations and data structures for data warehouse and lake/repository. - Manage cloud and/or on-premises solutions for data transfer and storage. - Process data using spark (PySpark) - Manage cloud and/or on-premises solutions for data transfer and storage. - Collaborate and work with ...
... work closely with both Blend’s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making. This position is ideal for engineers with a strong data foundation who are looking to apply their ...
... Design and develop batch and real-time data pipelines on GCP.- Build scalable ETL/ELT pipelines using Dataflow, BigQuery, and Cloud Composer.- Ingest data from databases, APIs, files, SaaS applications, and streaming sources.- Design and optimize BigQuery datasets, tables, partitioning, and clustering.- Develop data transformations ...
... Consent Vendor Risk Execute end to end DSR DSAR workflows and privacy operations Perform data discovery classification and scanning using BigID Build and maintain data inventory catalog and lineage Identify sensitive data and risks PII overexposure dark data Support RoPA DPIA and regulatory compliance initiatives Configure workflows ...
... Skill Area - Cortex AI, Semantic Data, Snowpark & Modern Data Platforms The opportunity Build and operate enterprise-grade Data & AI platforms using Snowflake AI Data Cloud. The role focuses on Snowflake data engineering, reusable platform patterns, semantic data products, governed AI-ready datasets, APIs, enterprise service ...
... 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 ...
Required - 3–7 years of Data/Cloud Engineering experience with hands-on GCP . - Strong SQL and Python skills. - Experience with Spanner, BigQuery and batch/streaming pipelines . - Good understanding of GCP IAM, monitoring, logging and production support. - Strong troubleshooting mindset and ability to ramp up quickly in ...
Location : [Remote / Hybrid — Kolkata, Hyderabad, Bangalore] Type : Full-time We're looking for a Senior Data Engineer to design, build, and operate the data platform that powers our analytics and reporting. You'll own data pipelines and models end to end — from source ingestion through a Lakehouse medallion architecture ...
... driven to deliver high quality data solutions that enable better decision making across the organization. This Data Engineer role will design, build, and maintain data pipelines and integrations across multiple source systems in a global environment. They develop ETL processes and APIs, manage data warehouse schemas, and ensure ...
... scalable solutions based on Java technology. Advanced experience in JAVA development (Java, Hibernate, Spring Boot, Web Services, Eclipse, Apache) and Scala. Good database development knowledge (Oracle v10+, PLSQL). Experience with microservices and Pivotal Cloud Foundry are highly desired. Experience with test-driven development ...
... including generative AI and LLM-based approaches — using enterprise business data, knowledge graphs, business process intelligence, and structured and unstructured data assets. - Learn SAP's deep data and process context — data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, Record-to-Report, ...
... strong Data Analyst background with the ability to work with Excel, SQL, web-scraped data, and databases , while also being comfortable supporting basic cloud database, software, and data-related troubleshooting activities . Since the application relies heavily on accurate data, the candidate should be able to identify data-related ...
... across technical and non-technical stakeholders. Preferred Qualifications - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data pipelines, data warehousing, or big data tools. - Familiarity with monitoring tools and performance optimization techniques. What’s in it for you? Pathways for ...