Data Engineer

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Date: Apr 26, 2024

Location: Pune, MH, IN

Company: NTT DATA Services

Req ID: 279749 

NTT DATA Services strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer to join our team in Pune, Mahārāshtra (IN-MH), India (IN).

Primary functions: Database development and design, data integration and cloud support, data warehousing.
Primary Deliverables:  SQL based reports, data integration and pipelines using ETL services, SQL/Javascript/Python Stored Procedures and Functions, scripts, and support documentation.
 
Activities:
-       End-to-end creation of reports in Data Warehouse platforms (Snowflake) including data ingestion, database and cloud objects design and creation, testing (for quality and performance) and deployment
-       Support of existing models in Data Warehouse
-       Design and support of data pipelines using NiFi, Fivetran, Databricks, Snowpipe etc.
-       Creation of scripts – to manipulate and transform data when required by the data ingestion pipelines
-       Creation of CI/CD pipelines for driving the Change Management process of the Snowflake objects and their related data ingestion requirements
-       Provide support to the business team in data testing and validation activities
 
Technical Competencies:
-       Advanced knowledge in SQL including performance tuning.
-       Skills to build robust and complex data pipelines from/to Snowflake DW
-       Knowledge of Python and Javascript programming languages and ability to write and support code using them
-       Knowledge of ETL tools such as Qlik, Fivetran, NiFi, ADF and etc.
-       Ability to build and run CI/CD pipelines for different resources in our technology stack
-       Basic data security and access management
 
Preferred candidate should:
-       Have Bachelor’s Degree in Engineering Technology, Computer Science, or a related field with equivalent experience
-       Demonstrate critical thinking, analytical skills, and employ judgment to offer thoughtful, concise input toward resolutions of problems
-       Have strong communication and interpersonal skills with strong English proficiency
-       Be able to translate data requirements into business processes and reverse engineer business processes into data requirements
-       Show leadership skills needed to successfully promote ideas, coordinate work activities, and plan deliverables within a project team
-       Have comprehension of DevOps and Agile development and application to data centric architecture and solutions
-       Experience working in Agile environment and familiar with Scrum team process and ceremonies.
-       Have hands-on experience with Data Ingestion & Data Modeling (or Data Literacy) regardless of platform
-       Understand programming logic and architecture and have the ability to write code in Python and/or Javascript
 
Requisite Skills: 
Snowflake, SQL scripting & modeling, Azure Data Factory (ADF), understanding of Azure resources in general, Python, basic Javascript, DevOps and Git, GitHub Actions, Databricks, Enterprise Data Warehousing (conceptual understanding).
Nice to have: ETL Tools (Qlik, Fivetran, etc.), Clean Code principles, basic Security and Control knowledge.

About NTT DATA Services

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients’ long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.


Job Segment: Data Warehouse, Database, SQL, Computer Science, Consulting, Technology

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