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 )
