Data Warehouse Engineer-SQL

No of Positions: 2

Location: Pune

Tentative Start Date: October 31, 2022

Work From : Any Location

Rate : $ 12 - 24 (Hourly)

Experience : 7 to 11 Year

Job Applicants : 8

Job Views : 282

You have successfully applied. Company will contact you soon.

Name : {{jobapplydata.name}}

Company Name : {{jobapplydata.cname}}

{{jobapplydata.email}} | Send Email {{emaildata.total}}

{{jobapplydata.phone}} | Call

Upgrade Plan

You have successfully applied. Need to upgrade your plan to view contact details of client. Upgrade Plan

Job Category : Information Technology & Services

Duration : 3-6 Month

Required Skills

SQL data warehousing object or Python

Description

Key R&R-

Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Build and implement scalable solutions that align to our data governance standards and architectural roadmap for data integrations, data storage, reporting, and analytic solutions.
Design and develop data integrations and a data quality framework. Write unit/integration/functional tests and document work.
Perform data analysis required to troubleshoot data-related issues and assist in the resolution of data issues.

Required Skills:

Experience with a variety of database technologies and data warehouse schema design patterns (snowflake and star in particular).
Design and Development experience of an EDW,
Experience with cloud-based databases, specifically AWS technologies (e.g., Redshift, RDS, S3, EMR, EC2, Kinesis) is a plus. Experience using SQL queries as well as writing and optimizing SQL queries in a business environment with large-scale, complex datasets.
Experience creating ETL and/or ELT jobs.
Experience with Agile software development methodologies.
Excellent problem solving and troubleshooting skills.
Process oriented with great documentation skills.
Proficient in object-oriented programming (Python in particular).
Experience with DevOps methodologies and tools (e.g., Git, Artifactory, etc.).
Experience developing in a Unix/Linux environment.
Experience a plus developing integrations across multiple systems and APIs .
Experience a plus with Big Data tools like Spark, Hadoop, Kafka, etc