Cloud ETL and Bi resources (Google Big query, Data studio)

Cardinal Integrated Technologies, Inc.

$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5+ years as a Data or BI Engineer with complex data systems
  • Expertise in data modeling, ETL development, and data warehousing
  • Experience with databases like Oracle, Redshift, Teradata
  • Strong SQL skills and experience in query performance tuning
  • Proficient in at least one programming language (Python, Ruby, Java)
  • Familiarity with Google BigQuery and Data Studio
  • Experience with Big Data technologies such as Hadoop and Spark is a plus

Responsibilities

  • Design and implement robust ETL processes for data ingestion
  • Conduct data modeling to optimize data storage solutions
  • Collaborate with teams to create effective data warehousing strategies
  • Use SQL to query data and improve performance
  • Develop scripts and applications to automate data tasks
  • Analyze data requirements and translate them into technical specifications
  • Explore and utilize Big Data technologies when applicable

Benefits

  • Health, dental, and vision insurance
  • Retirement savings plan options
  • Professional development opportunities
  • Flexible work schedule
  • Support for work-life balance
Full Job Description
An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions.
You should have strong business judgement, excellent written and verbal communication skills.

Basic Qualifications

3-5+ years of experience as a Data or BI Engineer dealing with large complex data scenarios.
Demonstrated ability in data modeling, ETL development, and data warehousing.
Data Warehousing experience with any database like Oracle, Redshift, Teradata, etc.
Hands on in using SQL & Query performance tuning skills.
Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
. Google big query & Data Studio

Preferred Qualifications

Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Experience in large-scale data warehousing projects using AWS technologies (Redshift, S3, EMR )

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