... the joy of building something meaningful. Work Ethic: Willing to be available to customers and teams as needed, with healthy boundaries for work-life balance. Big Plus: If you can write SQL queries and dig into databases, that's a big plus. Work from Home: Enjoy the flexibility and work-life balance of a remote role, especially ...
... community. 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. - 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. - Strong hands-on architectural experience — able ...
... transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies u2022 Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance u2022 Strong knowledge in the Big data tools such as AWS Redshift, Hadoop, map reduce etc. ...
... look for - 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. - 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. - Strong hands-on architectural experience — able ...
... https://jobeax.com/link/VnzZPQh0vO88CBLX :We're developing a state-of-the-art SaaS platform with modular services like user management, transactions, analytics, and big data processing, designed for flexibility and extensibility. Currently in a start-up-like phase within a well-established organization, we're shaping the future ...
... analytical reports. - Work with SAP BW to understand data structures, data flows, queries, InfoProviders and reporting layers. - Extract, validate and reconcile data from SAP BW and other data sources . - Perform data quality checks, validation and root-cause analysis for reporting/data issues. - Write complex SQL queries ...
... analytical reports. - Work with SAP BW to understand data structures, data flows, queries, InfoProviders and reporting layers. - Extract, validate and reconcile data from SAP BW and other data sources . - Perform data quality checks, validation and root-cause analysis for reporting/data issues. - Write complex SQL queries ...
... and documentation control Give the Big Tech Head and leadership a clear read on where each contract stands ahead of any partner discussion. Pull together the data we need for partner discussions content, archive, audio-video, Indic language and audience data. Support new partner conversations (Meta, Microsoft and others) ...
... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering ...
... 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 ...
... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...
... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...
... 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. ...
... platform ecosystem including Workbench, Connect, and integration patterns with R and Python environments Proficient in distributed computing technologies and big data analytics, including hands-on expertise with Python, Spark, SQL, and data transformation pipelines Strong understanding of MLOps/ModelOps principles, practices, ...
... Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer ...
Job Title: Data Engineer - ML Training Data Pipeline Notice period: 0-30 Days Experience : 5+ Years Location: Hyderabad OR Pune We are looking for Data Engineer - ML Training Data Pipeline who can Build and maintain the data pipeline that transforms raw production traces into high-quality training datasets for LLM fine-tuning-ingestion, ...
... 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 ...