... automation frameworks to improve data accessibility and operational efficiency. Partner with cross-functional teams to continuously enhance data platform reliability, observability, and scalability. Minimum 5 years of experience in Data or Database Engineering, or a related role. Experience with NoSQL databases, including ...
... Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community. Site Reliability & Production Support Engineer with 3+ years ...
Job Description :Medline India is looking for a talented Full Stack Engineer with strong technical Front end, Back end, middleware and database skills. This role requires designing and developing complex web and mobile applications and ensuring seamless integration of front-end and back-end https://jobeax.com/link/hr4DRoO0PfKRfp4W ...
... Summary : Lead data quality assessment and governance activities across the data https://jobeax.com/link/GmpRkycDUBUNhxr2 Responsibilities : - Define data quality rules and controls- Conduct profiling and reconciliation- Develop DQ dashboards and scorecards- Monitor data quality KPIsSkills : - SQL- Data Profiling- Data ...
... shortlisted. We appreciate your https://jobeax.com/link/UiejEVhRXgrYxewO Keywords : Crescendo Global, Jobs in Bengaluru, Data Engineer Jobs, Consultant Data Engineer, AWS Data Engineer, ETL Developer, ELT Pipelines, SQL, Python, Apache Spark, Kafka, Data Warehouse, Data Lake, Cloud Data Engineering, CI/CD, Git, Big Data ...
... organizations improve productivity and focus more on patient care. Over the years, GHX has enabled significant cost savings for the industry and continues to innovate with intelligent automation and AI-driven capabilities. Website: LinkedIn: GHX is seeking a Sr Software Engineer with deep technical expertise and a proven track record ...
... Partner with business stakeholders, product managers, and engineering teams to understand business use cases and constraints.- Design and document end-to-end data, aligned with enterprise standards for :1. Data mesh and domain-oriented data products2. DataOps, MLOps, and emerging AgentOps practices3. AI-aligned data patterns ...
... of data integrity. Establish IT risk management policies and procedures, ensure their implementation. Perform risk based deep dives to identify and understand IT risk drivers and to validate root causes of IT related loss events. Bachelor's degree in computer science, engineering, mathematics or equivalent, or 6+ years ...
... scripting, documentation, test generation, and engineering productivity. - Familiarity with LLM APIs and agentic AI workflows, with an interest in applying AI capabilities to platform engineering, DevOps, and reliability engineering workflows. - Awareness of responsible AI principles, including security, bias, explainability, ...
... and when https://jobeax.com/link/0a2QmNkVhUZFALjk Candidate will have :- Experience with Agentic AI, Generative AI, LLMs, and prompt engineering.- Experience with big data technology stack (Hadoop, Spark, HDFS, EMR, Glue).- Experience with AWS, Azure or GCP.- Experience with Databricks/SageMaker/DataRobot, MLFlow or other ...
... and forecasting solutions. Perform data cleaning, preprocessing, and feature engineering. Build and optimize data pipelines using Python and SQL. Analyze large datasets to identify trends and business insights. Support model deployment, testing, and performance monitoring. Create dashboards, reports, and data visualizations. ...
... engineers, and business stakeholders to understand data requirements and design efficient data models.- Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. - Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.- ...
... plus. - SQL Experience. - GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have. - Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse). - Experience with version control systems, such as Git/Github. - Big Data processing framework experience ...
... Snowflake Engineer, you will be responsible for architecting and maintaining robust data pipelines and cloud-based warehouse solutions. You will work closely with cross-functional data engineering teams and business stakeholders to translate complex data requirements into high-performance, scalable Snowflake environments. ...
... Server databases, including tables, views, stored procedures, and functions. Optimize complex SQL queries and ensure database performance, reliability, and scalability. Collaborate with application developers to integrate database logic into business applications. Ensure data integrity, security, and compliance with best practices ...
... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...
... Prepare and analyze large datasets using cloud platforms such as AWS and Snowflake. - Use SQL, Python, Jupyter Notebooks, Looker, and related tools to analyze data and generate insights. - Partner with Product, Engineering, and business teams to shape strategy and priorities. - Clearly communicate insights, model results, ...
... Engineering & Architecture Design and maintain robust, scalable data pipelines using Kubeflow, Python, and Snowflake, ensuring optimal performance and reliability. Follow best practice standards for deployment and the use of CI/CD tools. Govern end-to-end data architecture with a focus on data quality, security, compliance, ...
... Order-to-Cash, Procure-to-Pay, Record-to-Report, and Plan-to-Produce to ground AI solutions in real enterprise reality. - Work with cloud and data platforms including Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, and GCP to support reliable, scalable AI workflows. - Partner across product, engineering, business, and customer-facing ...