... for requirements gathering and use case analysis. - Strong communication, collaboration, and creative problem-solving skills. Bachelor's degree in computer science, Engineering, or equivalent practical experience. - Experience with Agile/Scrum methodologies and DevOps practices. - Azure Data Engineer Certification or equivalent ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Query and Database Access Tools: Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further ...
... experience in data engineering, building and maintaining large-scale data pipelines and platforms.- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.- Experience building interactive applications using Foundry Workshop, ...
... : - 10+ years of experience in Software or Data Engineering with large-scale, high-traffic, fault-tolerant systems.- Deep experience with semantic modeling, data lakehouse, and data product development.- Expert-level SQL and Python skills.- Experience with modern data platform technologies : Snowflake, ClickHouse, or similar ...
... platforms like Databricks. Optimize data storage and access patterns for performance and cost-efficiency. Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components. Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion ...
... helping enterprises solve complex data, AI and cloud transformation challenges. Founded in 1991, Impetus has grown into a global engineering organization serving data-driven enterprises and Fortune 100/500 clients. Its capabilities span cloud engineering, data engineering, enterprise AI, application modernization, DevOps and ...
... science https://jobeax.com/link/tesCTldPRrRSglrt You Are :Education :- Bachelors from Tier 1 premier institute in relevant field, or; Master's or PhD in Computer Science, Data Science, Mathematics, or a related https://jobeax.com/link/nnF4EyWTLvU0XkJo :- 3 - 6 years of hands-on experience in machine learning or data science ...
... cloud https://jobeax.com/link/f7cnnjsAzvrL3710 Leadership :- Deep technical understanding of any cloud or data platform (Azure, AWS, Google Cloud, Snowflake, Databricks).- Hands on experience with & Operational Excellence :- Establish, track, and report on client-facing Service Level Agreements (SLAs) and internal Key Performance ...
... purity process utility systems serving the semiconductor, PV Solar and other high-tech industries . With a deep-rooted legacy in turnkey solutions for the life sciences industry, we bring unmatched expertise in designing, manufacturing and installing complex utility systems. We are seeking a driven and detail oriented Design ...
... information across Asana, QuickBooks, and internal job schedule spreadsheets. Working closely under the Controller, you will verify sales documents, maintain strict data consistency across all platforms, and resolve discrepancies to ensure smooth order processing and timely internal communications. Schedule: Monday - Friday, 8:00 ...
... experience in Data engineering. Pyspark with GCP and AWS,Snowflake and Data bricks are required skills. Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems. You have hands-on experience of data modeling and modern data engineering tools and platforms. ...
... episodic and long-term memory across AI systems.- Permission-aware retrieval with tenant isolation, document-level security, compliance controls, and audit trails.- Data flywheel architecture transforming production data into training and evaluation assets for future LLM and SLM https://jobeax.com/link/uW4ozJESYI73KG83 Skills ...
... analytics GCCs, risk, finance, or advanced-analytics teams. - Bachelor’s or master’s degree in Statistics, Mathematics, Economics, Finance, Engineering, Computer Science, Data Science, or another quantitative discipline. - Proficiency in programming language(Python and SQL); experience with SAS, R, Spark, or cloud-based analytics ...
... cloud https://jobeax.com/link/f7cnnjsAzvrL3710 Leadership :- Deep technical understanding of any cloud or data platform (Azure, AWS, Google Cloud, Snowflake, Databricks).- Hands on experience with & Operational Excellence :- Establish, track, and report on client-facing Service Level Agreements (SLAs) and internal Key Performance ...
... all data products align with enterprise data platform strategy (Lakehouse, AWS/GCP) Collaborate with architecture teams to ensure Scalability and performance, Data quality, lineage, and governance compliance. Promote data reuse and asset standardization across use cases and drive adoption of best practices in data modeling ...
... analysis (RCA). Integration and Data Management Design and support system integrations using REST APIs, Web Services, and messaging systems. Work with SQL Server databases for data analysis, reporting, and troubleshooting. Ensure data consistency, accuracy, and integrity across systems. Ensure adherence to SDLC, ITIL, and change ...
... looking for someone who can :- Set the bar for what great looks like in applied Data Science and ML execution across the organization.- Define and drive the Data Science roadmap by identifying the highest-impact problems worth solving, not just the loudest asks.- Lead, hire, and grow a high-caliber team of Data Scientists ...
... scalability, maintainability and reliability. Collaborate with business and Data & AI teams to translate business requirements into sustainable and scalable data solutions. Ensure platform reliability, performance, data quality and operational excellence. What You Bring A university degree in Computer Science, Data Engineering, ...
... solution concepts with interdisciplinary teams. 4. Initiate and manage projects: • Drive the development of proof-of-concept demonstrators and prototypes. Manage internal and external partners to ensure knowledge transfer to ZEISS business units. 5. Support technology and business transfer: • Facilitate the transition of innovative ...