| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Data Engineer - Bigdata (2 - 4 Yrs) Data Engineer - Bigdata (2 - 4 Yrs) What We Have In Store For You: Evaluate business needs and objectives. Gather, verify, and organize data from many sources. Create and maintain optimal data pipeline architecture. Help to build and manage data warehouse strategies. Performs data analysis required to troubleshoot data-related issues and deliver state-of-the-art solutions to those identified problems. Use SQL, Python, Node JS, and other languages in connection with modern cloud architecture and transform that data into usable assets. Identify ways to improve data reliability, efficiency, and quality. Deploy sophisticated analytics programs, machine learning, and statistical methods. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Collaborates with analytics and business teams to improve data models. Implements processes and systems to monitor data quality, ensuring production data is always accurate. You Fit the Bill If: Should have roughly 6-8 years of industry experience with a minimum of 3+ years of hardcore data engineering experience. Should have the practical and foundational knowledge of creating and managing data pipes in topical data frameworks like Spark, Kafka, Hadoop Should have a strong understanding of data warehouse techniques. Experience in data warehouse development and architecture Should have experience working on ETL tools Strongly desired to have full cycle implementation of data solutions on Any cloud flavors like AWS, GCP, or Azure. This includes Ingestion, Storage, Compute, Data Exploration, and Data Serving at a minimum. Experience with AWS Glue is a plus. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Should have the skills to do modular programming and application development, preferably in python. This is a key skill for data sharing/provisioning using APIs and data visualization using any of the frameworks like Flask, Django, Falcon etc. Good understanding of SDLC and Agile Methodologies. Strong problem-solving skills and analytical skills. Ability to communicate verbally and in technical writing to all levels of the organization in a proactive, contextually appropriate manner. Strong teamwork and interpersonal skills at all levels. Good to Have: Git, Docker Apply Now Refer Friend,
Keyskills :
sqljavadata warehousinginformaticapythonetl toolsdata qualitydata analysisdata solutionsproblem solvingmachine learningdata engineeringtechnical writing