... 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- ...
... performance and accuracy. Communicate findings and recommendations to stakeholders effectively. Stay updated on industry trends and emerging technologies in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science ...
... (sub-100ms) while maintaining model quality and managing compute costs within budget. Cross-functional alignment: coordinating model deployment gates across Data Science, Risk, Compliance, IT Security, and Business teams — each with different timelines, priorities, and risk appetites. Keeping pace with the Databricks roadmap: ...
About the role :We are scaling our geospatial data-science capability - turning multi-source data (mobility, points of interest, demographic datasets, transaction signals, satellite imagery) into validated location attributes at fine spatial granularity (grid- and address-level) and powering ML models that are served as ...
... analyzing and interpreting complex data sets to drive business decisions and strategies. We are looking for a skilled professional who is proficient in Python, SQL, Data Analytics, MS-Excel, Data Science, Power BI, and Tableau. If you are passionate about leveraging data to make informed decisions and drive business growth, then ...
... practices across the organizations data https://jobeax.com/link/Rxp61lee69YeFmrt Qualifications :- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.- 8+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives.- ...
... etc). Create visualizations to help us deeply understand what our networks learn and why. Very comfortable writing Python. Atleast 3-6 years of experience in Data Science Strong data structures, algorithms, and engineering mathematics background. Familiar with PyTorch and training deep neural networks is preferred but not ...
... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...
Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 3 years of experience • Minimum 3 years of experience in design, build and deployment of Ab Initio-based applications • Expertise in handling complex large-scale Data Lake and Warehouse environments ...
... across all data platforms. Preferred Candidate Profile Work Experience: 8+ years in large-scale application development with 5+ years in a Python and PySpark Data Engineering lead role. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). Core Technical ...
... collaborative mindset with the ability to thrive in a hybrid work environment across Bangalore, Chennai, Pune, or Mumbai.- A Bachelors or Masters degree in Computer Science, Information Systems, or a related quantitative field is preferred.- Candidates must possess 8 to 12 years of relevant professional experience in data engineering ...
... protocols Candidate Qualifications - Education: Bachelor's degree in computer science or equivalent - Experience: 4 - 8 years of experience in data engineering or data application development (ETL/ELT/BI) - 2+ years of experience in cloud-based data platform development - Expertise in building Azure-based data pipelines, including: ...
About the Role:Newton School of Technology is looking for a strong Software Engineer with deep expertise in Data Structures & Algorithms to join our Computer Science https://jobeax.com/link/GAQw2xZfHsdWGuLm ideal candidate will have strong problem-solving skills, experience with Competitive Programming, and a solid understanding ...
... Experience implementing large-scale distributed systems in collaboration with more senior team members Knowledge and hands-on experience in technologies across all data lifecycle stages BS degree in computer science or related field or equivalent knowledge and experience No prior experience in the energy industry required Our ...
... worldwide. Role Summary: The Data Architect is responsible for the design and evolution of our enterprise data architecture, with a strong focus on reusable data pipelines, data schemas & products, and modern data engineering practices. This role requires an AI-first mindset in data engineering and data modeling activities ...
... with cloud platforms (AWS / Azure / GCP).- Familiarity with MLOps tooling and practices (e.g., model versioning, CI/CD for ML, monitoring).- Experience with big data technologies (Spark, Databricks, etc.).- Bachelor's / Master's / PhD in Computer Science, Statistics, Mathematics, or a related quantitative https://jobeax.com/link/sEOksQVqU173JbV8 ...
... Bachelor's degree in Computer Science, Engineering, Statistics, or a related field. Nice to Have - Familiarity with dbt Mesh concepts (cross-project references, data contracts) or multi-project dbt architectures. - Exposure to data ingestion tools such as Fivetran, Airbyte, or AWS Glue for loading source data into Snowflake. ...
... ecosystems.- Exposure to GenAI / AI integration with data platforms.- Experience in domain analytics (Insurance, BFSI, Healthcare).- Familiarity with modern data stack tools (dbt, Python frameworks, Spark).Education : - Bachelor's/Master's in Computer Science, Data Engineering, Information Systems, or related field. (ref:hirist.tech)
... relocation Remote Type: This position is fully remote Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and ...
... Data Engineer to drive our mission to unlock potential of data 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 ...