... requirements. Strong communication skills to collaborate with technical and non-technical teams. Experience with containerization (Docker, Kubernetes). Knowledge of machine learning models and integration into data pipelines. Agile or Scrum methodology experience. Familiarity with CI/CD processes for data engineering workflows.
... policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications - 4–5 years of experience in data engineering - Strong hands-on experience with Python, SQL, PySpark/Spark - Experience with AWS S3, Glue, Athena - Experience with DBT and Airflow (or equivalent) ...
... intelligent conversational interfaces. Role Overview: Position: Generative AI Chatbot & Azure Open AI with LLM and RAG Experience Required: 5+ years in GEN AI (Data Science) Location: Gurgaon /Bangalore /Hyderabad /Pune Employment Type: Permanent Notice Period: Preferred Immediate joiners Key Responsibilities: Design and ...
... with demonstrated expertise in enterprise data management and related technologies - 5-10 years of data architecture experience - Thorough knowledge of Erwin Data Modeler - Thorough knowledge of data warehousing concepts and the ability to create a dimensional design - Strong understanding of data modeling best practices ...
... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...
We are hiring for Senior Data Engineer (MS Fabric & Telecom) Work location: Bangalore, Karnataka, India Experince: 8 to 10 years Notice: Imdiate to 30 days only Role Overview As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of ...
... versioning, and storage/compute costs for large-scale workloads. Ensure high-quality solutions through unit testing frameworks and automated validation. Collaborate with business teams to support analytics, reporting, and data science initiatives. Mentor junior engineers, sharing knowledge and promoting engineering excellence.
... huge volumes of data and a short learning curve. Join our exceptional team where you'll tackle challenging problems while working alongside industry-leading data engineering talent. We offer a premium work environment where you can make meaningful contributions, shape the future of data engineering, and enjoy the journey ...
... analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. ...
... learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods • Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain ...
... using Python. Strong proficiency in Python and object-orientated programming. Familiarity with RESTful API design and implementation. Experience with relational databases such as MySQL, PostgreSQL. Experience with version control systems such as Git. Familiarity with Docker for containerisation. Experience with microservices ...
Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...
... and apply advanced techniques like reinforcement learning to enable multi-step reasoning and https://jobeax.com/link/V8PpAgs2ePS7Wu3Z'llcollaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build on our platform. ...
Qualification : BE/B.Tech/M.Tech - Computer/IT Experience : 3 to 5 Years Roles & Responsibilities: - Create and manage data pipeline architecture for data ingestion, pipeline setup and data curation - Experience working with and creating cloud data solutions - Assemble large, complex data sets that meet functional/non-functional ...
... is a GUI-driven tool that extends Excel capabilities to optimize outcome time, minimize user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, ...
... Engineers to ensure high-quality training data. Implement data quality checks, observability, and governance frameworks. Bachelor's or Master's in Computer Science, Data Engineering, or related field. Experience: 4–6 years in data engineering with expertise in: Programming: Python, Scala, or Java (Python preferred) Big Data & ...
... delegates to define and implement data quality (DQ) rules; collaborate with IT to enhance DQ controls. - Conduct comprehensive analysis of business processes, data flows, and usage to identify opportunities for re-engineering and efficiency improvements. - Engage with business stakeholders to understand, prioritize, and ...
... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...
... existing systems. In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles. Your ultimate objective will be to create highly efficient self-learning applications that can adapt and evolve over ...
As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...