Sr. Data Engineer (3 - 5 years of experience)
- Cadence
- 2 to 6 Yrs
- All India
- 3 months ago
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Job Description
- Company Description Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description We are seeking a Data Engineer with a strong background in data engineering. This role involves managing system requirements, design, development, integration, quality assurance, implementation, and maintenance of corporate applications. Work with product owners, business stakeholders and internal teams to understand business requirements and desired business outcomes. Assist in scoping and designing analytic data assets, implementing modelled attributes and contributing to brainstorming sessions. Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visas product management teams and data scientists. Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users. Execute data engineering projects ranging from small to large either individually or as part of a project team. Set the benchmark in the team for good data engineering practices and assist leads and architects in solution design. Exhibit a passion for optimizing existing solutions and making incremental improvements. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualification 2 or more years of relevant work experience with a Bachelors Degree or 1 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, MD). Preferred Qualification Minimum of 3 years experience in building data engineering pipelines. Design and coding skills with Big Data technologies like Hadoop, Spark, Hive and Map reduce. Mastery in Pyspark or Scala. Expertise in any programming like Java or Python. Knowing OOP concepts like inheritance, polymorphism and implementing Design Patterns in programming is needed. Experience with cloud platforms like AWS, GCP, or Azure is good to have. Excellent problem-solving skills and ability to think critically. Experience with any one ETL tool like Informatica, SSIS, Pentaho or Azure Data Factory. Knowledge of successful design, and development of data driven real time and batch systems. Experience in data warehousing and an expert in any one of the RDBMS like SQL Server, Oracle, etc. Nice to have reporting skills on Power BI / Tableau / QlikView. Strong understanding of cloud architecture and service offerings including compute, storage, databases, networking, AI, and ML. Passionate about delivering zero defect code that meets or exceeds the proposed defect SLA and have high sense of accountability for quality and timelines on deliverables. Experience developing as part of Agile/Scrum team is preferred and hands on with Jira. Understanding basic CI/ CD functionality and Git concepts is must. Additional Information ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Sr. Data Engineer (3 - 5 years of experience)
Contact Details:
Company: VisaLocation(s): All India
Keyskills: Data Engineering Hadoop Spark Hive Scala Java Python Design Patterns AWS GCP Azure ETL tool Informatica SSIS Pentaho SQL Server Oracle Power BI Tableau QlikView ML Jira Git Azure Data Factory AI AgileScrum
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Cadence
Cadence Data Soft is privately held company with registered office in Pune, India. We are Software Services Company focusing on storage and networking technology domains. We provide uncompromised, high quality software development and related services.
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