• AWS Data Engineer

Location Karnataka Bangalore
Experience Range 4 - 6 Years
Not active

Skills 6+ experience in Data Warehouse and ETL/ELT Technologies 3+ experience in large data processing using AWS components. 2+ experience in SQL
Job Description
About Us
EVRY India and EVRY USA are wholly owned subsidiaries of TietoEVRY, a leading digital services and software company headquartered in Finland with annual revenues of around USD 3.3 billion. TietoEVRY employs around 24,000 experts globally and is recognized as the #1 IT services and #1 financial services company in the Nordics. TietoEVRY serves thousands of enterprises and public sector customers in more than 90 countries. We foster a culture of continuous learning and focus on helping our customers in accelerating their digital journey to scale business advantage. Be it talent, speed to market, innovation, or cross-pollination of ideas across markets, TietoEVRY leverages USA and India operations to compete locally as well as globally.
About EVRY USA
EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing sectors. EVRY India's process and project maturity is very high — the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013
Roles and Responsibility

Primary Skills for AWS Data Engineer:

 

6+ experience in Data Warehouse and ETL/ELT Technologies

3+ experience in large data processing using AWS components.

2+ experience in SQL

 

Required Skills:

 

  • Mandatory - bachelor’s degree (Full time)
  • 5-7 years of total work experience in data projects
  • 3+ experience working with structured AND unstructured data.
  • Strong data warehouse concepts (Dimensions, Facts, Schema)
  • Good understanding of data modelling skills (Conceptual, Logical and Physical models)
  • Experience with modern Cloud platforms (preferably AWS)
  • Proficient in building the ETL pipelines by incorporating data conversion, aggregations, data derivation, lookup, scripting, sending email alerts etc.
  • Performed data cleansing, enrichment, mapping tasks and data validation process automation.
  • Worked with flat files and on-premises RDBMS sources.
  • Strong SQL/PLSQL writing skills, query optimization and debugging skills.
  • Effective verbal and written communication and influencing skills.
  • Effective analytical and technical skills
  • Dynamic team player with working in agile methodology.

 

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