... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... and modern orchestration — empowering the organization to make reliable, governed, data-driven decisions. Data Platform Architecture: Design and own end-to-end data pipeline architecture — ETL/ELT, orchestration, and data modeling — across cloud-native platforms (Azure Databricks, Azure Data Factory, and/or Snowflake). Lakehouse ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... artefacts that exploit data models to understand data and data integrations. This may include modelling data flows, developing CRUD matrices to understand master data, and the use of process models to illustrate master data flows.- Analyze complex datasets to identify trends, anomalies, data gaps, and business insights that ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... Experience with MDM / Data Governance platforms such as Syniti, SAP MDG, Informatica MDM, or any home grown Strong understanding of data governance operating models, data ownership, data stewardship, workflow approvals, data quality rules, metadata, and data lifecycle management. Experience in data profiling, cleansing, harmonization, ...
... proficiency in SQL and Python for data processing and pipeline development. Data Platforms: Hands-on experience with Snowflake, dbt, and modern cloud data warehouses. Data Modelling: Deep experience with dbt and modern data modelling practices. Data Platforms: Hands-on experience working with Snowflake or comparable cloud data warehouses ...
... Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, ...
Role Purpose This role is responsible for driving enterprise-wide data engineering strategy. It ensures the design, implementation, and continuous improvement of data pipelines, scalable and reusable frameworks, and implement data governance and data quality engines. The position enables trusted, governed data across systems, ...
... least one certification • Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Additional Certifications (Preferred) - Databricks Certified Associate Developer for Apache Spark - Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud ...
... Develop analytics dashboards and reporting solutions using Amazon QuickSight.- Implement CI/CD pipelines and Infrastructure as Code (IaC).- Monitor and maintain data platforms using observability and monitoring tools.- Collaborate with Data Scientists, ML Engineers, and Backend Developers.- Support AWS cloud migration and ...
... using Python and PySpark to ingest data from files, APIs, RDBMS, NoSQL, and message queues into AWS data stores Develop and optimize PySpark jobs for large-scale data processing, transformation, and aggregation on AWS EMR or Databricks Build and manage AWS-native data workflows using S3, Glue, Lambda, Redshift, and Step Functions; ...
... forecasting, and decision support. Skills You Can Develop: During the internship, you can gain practical exposure to: Data Analytics | Business Intelligence | Data Cleaning | Exploratory Data Analysis | Data Visualization | Dashboard Development | Business Analytics | Statistical Analysis | Data Interpretation | Reporting ...
... healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts ...
... MongoDB, ElasticSearch, Spark, LLM and share with the team and more importantly, have fun while you work on scaling MoEngage. Lead, manage, and grow a team of data scientists, fostering their careers through active coaching and mentorship. Provide expert, hands-on guidance to your team on the nuances of designing, building, ...
... transformations, and performance tuning. - Good experience with Python for data processing, automation, and Lambda development. - Strong understanding of data warehousing, data modeling, ETL/ELT, and data lake concepts. - Experience building and supporting production data pipelines. - Experience troubleshooting data and pipeline performance ...
... (Exposure preferred). Design and implement data pipelines using ETL/ELT tools and techniques. Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes. Automate data platform deployments and operations using ...
... healthcare enterprise applications . In this role, you will combine strong people leadership with deep technical expertise to guide the development of scalable, data-intensive solutions that drive meaningful business impact. As a leader who is still technically involved , you will mentor and manage data scientists and analysts ...
... reporting, and metadata coverage.- Collaborate across business, IT, legal, and compliance teams for role https://jobeax.com/link/D9UR6EbHufGvIjFa Candidate :- Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise.- 7+ years of experience in data governance and data management with at ...
... https://jobeax.com/link/6P8s6hBOPJeiA62U will work closely with data scientists, analysts, product engineers, and other engineering teams to build a modern, cloud-native data https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Design, build, and maintain robust batch and streaming data pipelines that ingest data from multiple sources ...