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Data Engeneer (DBT + AWS)

No of Positions  No of Positions:   1

location Location: Hyderabad

date Tentative Start Date:   June 14, 2024

Work From Work From : Onsite

rate Rate : $ 8  -  11 (Hourly)

experience Experience : 6 to 10 Year

Job Applicants : 6
Job Views : 223
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Job Category : Information Technology & Services
Duration : 6-12  Month
Key Skills Required Skills
DBT AWS redshift Athena Glue Python pyspark
Description

Company Description

Blumetra Solutions is a specialized digital professional services and consulting firm founded in 2020, headquartered in the San Francisco Bay Area with a development center in Hyderabad, India. We partner with our Customers across various industries to help them achieve their digital transformation objectives. Our solutions combine the power of Data, Analytics, Business Applications, and Cloud Capabilities to deliver effective business solutions. We work closely with our customers to deploy and evangelize adoption-ready solutions and change management plans.

Role Description

This is a full-time role for a DBT Data Engineer at Blumetra Solutions. As a DBT Data Engineer, you will be responsible for performing day-to-day tasks associated with data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics. This is an on-site role located in Hyderabad, India.

Qualifications

  • 5+ years implementing data pipelines or data-intensive assets using Python, Pyspark.
  • 2+ years creating modular data transformation using an orchestration engine like airflow
  • 2+ years building cloud-native solutions in AWS, especially with S3, Glue, Lambda, Step functions, Athena
  • Good hands on experience working with Athena.
  • 3+ years experience on DBT
  • Expert knowledge of working with Jinja templates.
  • Good knowledge on Cloud Databases, especially Snowflake.
  • Very good Data analysis skills in SQL. Able to develop complex SQL Statements and tune them for performance when required.
  • Experience in the data modelling plan, analysis, design and build effort.
  • Experience in ETL/ELT framework.
  • Understanding of data warehouse and traditional database concepts
  • Good interpersonal and communication skills.
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