... https://jobeax.com/link/eLxO3SLmpqvNPOZi : - Strong hands-on Databricks Architect/Databricks Engineer Profile with end-to-end build-and-solution capability and Databricks professional certification.- Must have 6+ years in Data engineering/Data architect roles, with at least recent 3 years of hands-on Databricks experience.- ...
Join Data Eminence as a remote Data Engineer and help build reliable data pipelines and infrastructure that power analytics and business decisions. You'll work with databases, ETL processes, cloud platforms, and data processing technologies to collect, transform, and organize data. Ideal for entry-level candidates with ...
... 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 ...
... candidate-screening and interviewing skills Ability to work independently from home Reliable internet connection and professional work-from-home setup Strong computer and data-entry skills Good knowledge of recruiting processes and candidate sourcing Strong work ethic and consistent attendance Ability to meet measurable productivity ...
... 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 ...
... 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 ...
As a Database Administrator, you will administer, develop, test, or demonstrate databases. Perform many related database functions across one or more teams or clients, including designing, implementing and maintaining new databases, backup/recovery and configuration management. Install database management systems (DBMS) ...
... high availability.- Experience in performance monitoring and tuning.- Knowledge of backup, restore, and disaster recovery processes.- Good troubleshooting and database administration skills.- Understanding of security and access management for database platforms.- Ability to work with application and infrastructure teams. ...
... 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- ...
... high availability.- Experience in performance monitoring and tuning.- Knowledge of backup, restore, and disaster recovery processes.- Good troubleshooting and database administration skills.- Understanding of security and access management for database platforms.- Ability to work with application and infrastructure teams. ...
... 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- ...
... 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 ...
... 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 ...
... field recent graduates welcome. - 3+ years of CS, CE, ML or related field experience work - Foundational understanding of knowledge representation, semantic data systems, or graph databases (through coursework, research, or personal projects). - Familiarity with at least one graph query language (SPARQL, Cypher, or GQL) ...
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 ...
... 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 ...
... 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 ...