... Experience with data quality tooling (SODA, Collibra, or similar) Exposure to cloud platforms (Azure, AWS, or GCP) Experience in a regulated or enterprise-scale data environment Prior experience mentoring or leading a small pod of engineers EXPERIENCE - 8+ years in data engineering, with at least 4+ years focused on Snowflake ...
... implementation of technical solutions. Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems. You have a deep understanding of data modeling and experience with modern data engineering tools and platforms. You have ...
Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. The below role is for our ...
... 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 experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...
... business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications - Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience - 1 - 2 years' Data ...
... 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 - Proven production data engineering experience at scale - Strong Python and SQL skills - Deep analytical warehouse ...
... Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, or a related field. - Bachelor’s/Master’s degree in Computer Science, Information Technology, Engineering, or related field. - 8+ years of experience in ...
... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...
... assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering solutions in the data and analytics domain. Develop high ...
... best practices. Monitor and troubleshoot data pipelines for continuous reliability and efficiency improvements . Why Join KANINI? Join KANINI’s award-winning Data Engineering Team, recognized as the "Outstanding Data Engineering Team" at DES 2025 Work on real-world problemsat the intersection of data, AI, and product development ...
... 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)
... Actively participate in architecture, design, and code reviews across the stack.- Make or guide key technical decisions on microservices design, API contracts, data modeling, and integration patterns.- Ensure adherence to engineering best practices: code quality, security-by-design, observability, and documentation.- Own ...
Colt provides network, voice and data centre services to thousands of businesses around the world, allowing them to focus on delivering their business goals instead of the underlying infrastructure. Technical Lead, Optical network Engineering Job ID: 36715 Job Level: PT1 Core Job Location: Gurugram / Bangalore Function: ...
... Ensure testing and release systems meet high standards for scalability, resilience, and availability. 3. Quality Metrics & Continuous Improvement - Establish data-driven quality and reliability metrics using DORA, SPACE, and Software Engineering Insights like frameworks. - Analyze and eliminate quality bottlenecks across ...
... with architects, product owners, QA engineers, DevOps teams, and business stakeholders.- Contribute to technical documentation, development standards, and engineering best https://jobeax.com/link/wJIgo45kO3tINlTo Skills:- 6+ years of professional software development experience.- Strong experience in payment systems, preferably ...
Title- Engineering Team Lead (AI-First) As the company digitally reimagines corporate travel through Connect, a unified interface for enterprise clients, travel agents, and hotel suppliers, engineering leadership becomes central to turning platform ambition into reliable execution. To support that mission, this role is ...
... of our niche, user data is highly sensitive. [Expected Compensation Range: ₹35,00,000 – ₹55,00,000 per annum] The Permanent Player-Coach We do not want an Engineering Manager who only manages Jira boards, nor do we want a lone-wolf architect. This is a hands-on Engineering Manager role. We expect a 60/40 split: you will ...
About Zyeta Zyeta is an integrated design-and-build company delivering workplace interiors, design, engineering and construction solutions for leading enterprises and global organisations. As we continue to scale, we are looking for an HR Business Partner who can strengthen our people culture, employee experience and employer ...
... (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations ability to coach managers/leads and influence ...