... that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Senior Data Engineer (Snowflake) Experience Level: 4 to 12 Years Work location: Bangalore Role & Responsibilities: In-depth knowledge of Snowflake's data warehousing capabilities. ...
About the Role We're looking for an experienced SRE / DevOps Engineer to take ownership of our AWS infrastructure, CI/CD, production reliability, monitoring, and deployment processes. You'll work closely with engineering teams to build scalable, secure, and highly available systems. What You'll Do Own and optimize AWS infrastructure ...
... metadata repositories and data lineage documentation to track data transformations and dependencies. - Work closely with business analysts, data engineers, and data consumers to gather requirements and translate business needs into data models. - Partner with data architects to ensure data models conform to the data strategy ...
... processing using JVM-based languages and frameworks Collaborate with cross-functional teams to integrate diverse data sources into the data ecosystem Utilize AWS services for data storage, integration, and streaming solutions Maintain workflow orchestration using Apache Airflow Proactively adopt emerging data engineering ...
... governance using IAM roles, KMS encryption, and AWS Lake Formation . Automate data workflows using Terraform, CloudFormation, or CDK . Monitor and troubleshoot data pipelines, ensuring high availability and performance. Collaborate with Data Scientists, Analysts, and Engineers to provide robust data solutions. Required Skills: ...
... 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. ...
... governance using IAM roles, KMS encryption, and AWS Lake Formation . Automate data workflows using Terraform, CloudFormation, or CDK . Monitor and troubleshoot data pipelines, ensuring high availability and performance. Collaborate with Data Scientists, Analysts, and Engineers to provide robust data solutions. Required Skills: ...
... platforms such as AWS, Azure, or GCP. Support the development and maintenance of Big Data processing frameworks and data lakes to handle structured and unstructured data. Collaborate with data scientists, analysts, and other engineers to ensure data accuracy and availability. Implement data ingestion strategies, ensuring the secure ...
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, ...
... accessible and usable. Collaborate with data scientists and architects on data initiatives and ensure the data is aligned with business needs. Create and maintain data documentation including data flow diagrams and architecture diagrams. Skills and Qualifications - 5-8 years of experience in a data engineering role or similar. ...
... model risk, reliability, and responsible https://jobeax.com/link/QPp34m7lEdgUcMNq & Key Skills :- Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related field.- 5+ years of experience in ML Engineering, AI Engineering, MLOps, or related roles.- Strong Python and software engineering skills ...
... AWS Data & AI Platform Engineer to join our team in Bengaluru, Hyderabad, Chennai, Karnātaka (IN-KA), India (IN). We are seeking an experienced AI Platform Engineer to build and operate secure, scalable AI platforms on AWS for regulated financial services environments. This role focuses on enabling generative AI and advanced ...
... scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications. Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools. Design, ...
... professional experience in lieu of a degree - 5+ years of hands-on industry data engineering experience - Proficiency in SQL, Spark, Python - Hands-on experience with Databricks, AWS, Snowflake - Demonstrated strength in data modeling, ETL development, and data streaming. - Experience with AWS products including Lambda, Step Functions, ...
... pipelines, document parsing, and text processing on large-scale unstructured data.- Strong NLP / extraction-focused ML depth : transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.- Hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model ...
Job Description :We are seeking an experienced Senior AWS Data Engineer to lead and execute a large-scale migration from Matillion ETL to a modern AWS-native data https://jobeax.com/link/f5FQc9SxrVvnQKkz ideal candidate will possess deep expertise in Apache Airflow, AWS Glue, AWS Lambda and Snowflake, with a strong background ...
... document scalable RESTful APIs and GraphQL endpoints to link client applications with backend engines. Database Management: Structure relational and non-relational database solutions using systems like PostgreSQL, MySQL, or MongoDB. Systems Security: Enforce reliable engineering standards for data encryption, authentication protocols ...
... classification and retrieval. Develop automated image labeling and segmentation workflows using metadata driven insights. Optimize data storage and retrieval on AWS (S3, Lambda, EC2, DynamoDB, Redshift) for high-performance clinical applications. What you will bring: 7 to 10 years of experience in data engineering with a ...
... understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, and data pipelines- Familiarity with SQL and data processing- Understanding of cloud platforms such as AWS/Azure/GCP is a plusGood to Have :- Exposure to Generative AI, LLMs, RAG, LangChain, Vector Databases, ...
... systems. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Experience with dbt (data build tool) for transformation ...