EVRY India

AWS Data Engineer

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.


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 - bachelors 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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