... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... design, and performance optimization.- Familiarity with generative AI platforms and use cases.- Contributions to open-source projects or thought leadership in data engineering/architecture.- Experience with Agile methodologies, CI/CD, and DevOps practices.- Exposure to FastAPI, or API-based ML services.- Experience evaluating ...
... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...
... Data Management/Governance Policies, Procedures, Processes, Standards and Control Providing inputs and recommendation on Data practices, Data definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand ...
... review.- Collaborate with our Support team to build the tool set that feeds into productive customer communications.- Identify areas where to apply managed services over self-hosted https://jobeax.com/link/Gpaa4oyRTNYXQU0V Stack : - Databases : RDS, PostgreSQL, MSSQL Server management- Scripting : PERL, Python, Bash- IaC ...
... to collaborate cross-functionally with product managers, data scientists, and other engineering teams to deliver cohesive data solutions. - Familiarity with data governance and security practices to ensure compliance and data integrity. Preferred: - Prior experience working with Databricks and AWS cloud services. - Experience ...
... throughout your career to help you on the path to becoming your best professional self. The opportunity : Consultant-National-Tech Consulting-CNS - TC - AI AND DATA - Bangalore National : National comprises of sector agnostic teams working across industries for a well rounded experience. CNS - TC - AI AND DATA : EY Consulting ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... batch jobs, database replication & Kafka- Set up and maintain monitoring/observability for data pipelines- Support ML pipelines, Airflow workflows and production data science infrastructureIDEAL PROFILE:Looking for candidates with strong hands-on experience in:- Data Operations- Production Data Engineering- Data Platform Support- ...
... and results-driven Data Engineer to join our growing Data Engineering team. You will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making for our clients. This role is ideal for someone who thrives in a consulting environment, enjoys solving complex data challenges, ...
Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...
Consultant Data Engineer Databricks | Azure | PySpark | Spark SQL - Bengaluru / Hyderabad / GurugramLooking for an experienced Data Engineer with strong expertise in Azure Databricks, PySpark, Spark SQL, Azure Data Factory (ADF), ADLS, ETL, and SQL. You will design scalable data pipelines, build modern Lakehouse solutions, ...
... and tech teams to make service even better. Language Skills: Advanced level of English and Korean - you'll need to speak and write fluently Comfortable with data and tools like CRM systems and dashboards Travel Industry Experience: Experience in travel, concierge agencies, TMCs, DMCs, or tour operators is an advantage! ...
... Hybrid( 3 days from office) We are looking for an Engineering Manager who is technically savvy in Data, Analytics or AI, who can design and govern enterprise data and reporting architectures while leading and growing a team of data engineers, BI Engineers or AI talent. 10-12 years in data engineering/BI/architecture, including ...
... Engineering, or a related field. 7+ years of data engineering experience, including expertise in data integration, pipeline optimization, and enterprise-scale data solutions. - Databases: Oracle and PostgreSQL - ETL/ELT & Data Integration: Experience in maintaining and refactoring existing data pipelines - Data Warehousing ...