Companies can now hire BigQuery developers remotely with Turing. Hire now and build a deeply vetted engineering team with Turing’s deep-vetting platform that uses AI to source, vet, match, and manage 3 million+ developers worldwide.
Big Data Developer
Christian is a professional full-stack web/mobile developer with 6+ years of experience in developing highly scalable and efficient software solutions. He has extensive knowledge of working with legacy systems.
Big Data Developer
Lukas is an experienced professional with a demonstrated experience of 7 years working in the information technology and services industry. He has extensive working knowledge of Java, JavaScript, Perl, R, PL/SQL and Databases.
Big Data Developer
Omkar has 12+ years of software engineering experience across various domains such as security, finance, healthcare, and semiconductors.
Big Data Developer
Balakrishnan is a creative professional with 10 years of experience in software development. He is experienced in designing scalable and highly performant engineering solutions.
Turing has been providing us with top software developers in Latin America. All our other vendors combined don't have the headcount that Turing does.
We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as compared to other vendors.
We're super excited about Turing as we will scrap our existing lengthy interview process and lean on Turing's vetting to build up teams on demand.
4 days
to fill most roles,
sometimes same day.
50+ hours
of engineering team time
saved per developer on interviewing.
97%
engagement
success rate.
We’ll schedule a call and understand your requirements.
Get a list of pre-vetted candidates within days.
Meet and select the developers you like.
Start building with a no-risk 2 week trial period.
BigQuery is an enterprise data repository that enables super-fast SQL queries using the processing power of Google's infrastructure. While storing and querying massive datasets can be time-consuming and costly without proper hardware and infrastructure, moving data to the BigQuery warehouse is a reasonable option.
Enterprises can hire BigQuery developers who will do all the hard work for moving data into BigQuery and handling data efficiently. With this, the owners can control access to both the project and data based on the business requirements. They can access BigQuery by using the Cloud Console, the BQ command-line tool, and also by making calls to the BigQuery REST API. As BQ is fully managed, there is no additional need to deploy any resources to get started with BQ.
The major responsibilities of Google BigQuery developers include creating ETL pipelines using Bigquery, creating best-performing tables with partitioning/clustering, enabling datasets keeping best practices in mind, writing complex SQL queries keeping execution cost in mind, and loading data into BigQuery using files or by streaming one record at a time. They are also responsible for creating, loading, and querying partitioned tables for daily time-series data, implementing fine-grained access control using roles and authorized views.
AI, ML, and insightful analytical platforms make it easier for businesses to unlock the hidden perception in estimable customer information. With Google BigQuery, it is now possible to drop the need for complex administrators to manage costly data systems. Businesses can hire the best BigQuery developers to scale hardware and software in the system up or down without any massive investments and handle data according to the needs of the business campaigns.
But it is often difficult to recruit experienced Google BigQuery developers as thousands of businesses compete to hire top BigQuery developers from a limited pool of skilled professionals. The shortage of experienced developers also means hiring quality BigQuery developers is a costly and time-consuming affair.
So, what’s the solution? Is it possible to hire cost-effective BigQuery developers quickly without compromising on quality?
The answer is yes.
Turing helps companies in hiring the best remote BigQuery developers at half the price. We vet the best remote BigQuery developers after testing their expertise in Bigquery architecture, table partitioning, clustering, type of tables, best practices, exploring and preparing data using BigQuery, implementing ETL jobs, and speeding up queries by denormalizing data structures. We also focus on their understanding of Bigquery ML, excellent problem-solving skills, communication, and interpersonal skills, etc.
Companies can now build a team of the best remote BigQuery developers in just a few days with Turing.
Including top companies backed by: