Company Description Webyno is a digital marketing and designing company that provides affordable web designing, SEO, SMO, and PPC services. Role Description This is a full-time on-site role for a Data Engineer (Python & Spark). The Data Engineer will be responsible for day-to-day tasks such as Data Engineering, Data Modeling, Extract Transform Load (ETL), Data Warehousing, and Data Analytics. The role is located in Pune. Delivering on critical business priorities while evolving platform towards its strategic vision Working closely with product managers, end users, and business analysts to understand business objectives and key success measures Partnering with technology teams to design and architect solutions that align to Barclays Architecture, Data and Security standards, while utilizing best-of-breed technology Developing and testing resilient, scalable, and reusable services and APIs/data pipelines utilizing latest frameworks and libraries, while adhering to development. standards Implementing automated build, test and deployment pipelines utilizing latest DevOps tools Creating and managing proactively relevant application documentation Participating in Scrum ceremonies and conduct sprint demos for stakeholders Leading and managing proactively the application of health and platform stability by reviewing technical debt, operational risks, and vulnerabilities Qualifications Data Engineering, Data Modeling, and Extract Transform Load (ETL) skills Data Warehousing and Data Analytics skills Experience in working with large data sets and strong programming skills in Python and Spark Experience with SQL, NoSQL databases, and data ingestion and processing frameworks Experience with AWS or other cloud platforms is a plus Strong problem-solving skills and attention to detail Bachelor's or Master's degree in Computer Science or related field Excellent written and verbal communication skills Webyno is an equal opportunity employer and welcomes candidates from diverse backgrounds
Employement Category:
Employement Type: Full time Industry: Others Role Category: General / Other Software Functional Area: Not Applicable Role/Responsibilies: Data Engineer (python & Spark) Ctc Upto 18 Lpa