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DBT Data Engineer

Role overview

Qualifications

  • B.E./B.Tech./MCA or equivalent degree
  • 4-7 years of experience in Data Engineering
  • Experience building and maintaining data pipelines and ETL infrastructure using Talend, DBT, S3, and Snowflake
  • Experience with data storage technologies (Amazon S3, SQL, NoSQL) and data modeling awareness

Responsibilities

  • Design, build, test, and maintain data management systems
  • Build and maintain data pipelines adhering to enterprise architecture principles and guidelines
  • Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on AWS
  • Act as technical leader within the team and collaborate with data architects, data scientists, and data analysts

About the company

PradeepIT Consulting Services Pvt Ltd logo

PradeepIT Consulting Services Pvt Ltd

Join PradeepIT: Innovating Information Technology and Solutions We pride ourselves on delivering exceptional results in the digital era of Information and Technology. With a track record of successful projects across offshore, nearshore, and onshore locations, we've built a clientele spanning 3 continents and 100+ companies. Our 380+ successful projects reflect our commitment to excellence. At PradeepIT, we prioritize the satisfaction of our resources, followed closely by meeting the needs of our clients and partner companies. Our service offerings include Outsourcing, Managed Services, Recruitment Process Outsourcing, Customer Relationship Management, Web Designing & Development, Content Development, and E-commerce Management. We specialize in SAP S/4 HANA, SAP Customer Data Cloud (Gigya), SAP CPQ (Calliduscloud), SAP Customer Experience, Mobility, Android, iOS & Hybrid development for native application developments. Our core value of "Join As Employee With Us And Grow Up As Entrepreneur" drives our mission. We proudly introduce our venture companies: 1. HG Infotech Pvt Ltd 2. Beli Brother Consulting Pvt Ltd 3. Involvemind 4. Stackglobe 5. Prastuti Consulting 6. Khahara Consulting 7. Thinkhigh And many more to come in the near future. We invite you to be part of our clients' success stories by adopting the latest technology and continually improving processes. If you'd like to learn more about us or have specific questions, visit www.pradeepit.com, call us at 08047363377, or email info@in.pradeepit.com. Let's work together on your next project!

Company details

Company size51 - 200

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Job description

JOB DESCRIPTION
Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on AWS
Requirements definition, source data analysis and profiling, the logical and physical design of the data lake and data warehouse as well as the design of data integration and publication pipelines
Develop Snowflake deployment and usage best practices
Help educate the rest of the team members on the capabilities and limitations of Snowflake
Build and maintain data pipelines adhering to suggested enterprise architecture principles and guidelines
Design, build, test, and maintain data management systems
Work in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue
Act as technical leader within the team
Working in Agile/Lean model
Deliver quality deliverables on time
Translating complex functional requirements into technical solutions.

EXPERTISE AND QUALIFICATIONS
Essential Skills, Education and Experience
Should have a B.E. / B.Tech. / MCA or equivalent degree along with 4-7 years of experience in Data Engineering
Creation and maintenance of optimum data pipeline architecture for ingestion, processing of data
Creation of necessary infrastructure for ETL jobs from a wide range of data sources using Talend, DBT, S3, Snowflake.
Experience in Data storage technologies like Amazon S3, SQL, NoSQL
Data modeling technical awareness
Experience in working with stakeholders working in different time zones

Good to have
AWS data services development experience.
Working knowledge on using Bigdata technologies.
Experience in collaborating data quality and data governance team.
Exposure to reporting tools like Tableau
Apache Airflow, Apache Kafka (nice to have)
Payments domain knowledge
CRM, Accounting, etc. in depth understanding
Regulatory reporting exposure

Other skills
Good Communication skills
Team Player
Problem solver
Willing to learn new technologies, share your ideas and assist other team members as needed
Strong analytical and problem-solving skills; ability to define problems, collect data, establish facts, and draw conclusions.

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Marcus Rivera

Chief Revenue Officer

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linkedin.com/in/marcusrivera
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