Remote Analytics Engineer
We, at Turing, are looking for experienced remote Analytics engineers who can write transformation jobs to build clean data assets and manage data dictionaries. Here's your chance to work with Silicon Valley firms on full-time and long-term projects while accelerating your career. Job description Job responsibilities Assemble huge, complex data sets in order to suit business needs Collaborate closely with data engineers and data analysts to fully comprehend needs and execute them in the database structure Write and optimize SQL statements for reporting and analytics Improving the Analytics code base by using best practices such as version control and continuous integration Create the infrastructure needed to extract, transform, and load data from the data warehouse as efficiently as possible Identify, develop, and implement internal process improvements, including automating manual processes, improving data delivery, and, if necessary, re-designing infrastructure to increase scalability Provide clean and well-tested data sets and perform data modeling Minimum requirements Bachelor's/Master's degree in Engineering, Computer Science, or IT (or equivalent experience) At least 3
years of experience in data processing/mining/analytics Knowledge of ETL data pipelines, structures, and data sets, as well as how to develop and optimize them Experience manipulating, processing, and extracting information from big, heterogeneous datasets Advanced knowledge in SQL and Python programming Working knowledge of Google Big Query is a bonus Critical thinking and interpersonal skills Fluency in English to collaborate with engineering managers Work full-time (40 hours/week) with a 4 hour overlap with US time zones Preferred skills Expertise in R or Python programming languages Strong knowledge of data engineering tools such as Stitch, Dataform, BI tools (Looker, Mode, etc.), among others Understanding of the best software engineering techniques.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database Administration, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
years of experience in data processing/mining/analytics Knowledge of ETL data pipelines, structures, and data sets, as well as how to develop and optimize them Experience manipulating, processing, and extracting information from big, heterogeneous datasets Advanced knowledge in SQL and Python programming Working knowledge of Google Big Query is a bonus Critical thinking and interpersonal skills Fluency in English to collaborate with engineering managers Work full-time (40 hours/week) with a 4 hour overlap with US time zones Preferred skills Expertise in R or Python programming languages Strong knowledge of data engineering tools such as Stitch, Dataform, BI tools (Looker, Mode, etc.), among others Understanding of the best software engineering techniques.
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine Learning, Database Administration, Business Intelligence & AnalyticsEstimated Salary: $20 to $28 per hour based on qualifications.
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