Data Engineering
Delivering value through deep understanding of the business use cases and developing the most complex data engineering pipelines running in production
70% time of all data analysts go in data processing and not analysis. We have the right expertise to build & streamline data processing pipelines so that analysts can truly focus on value generation and not data preparation. Sigmoid continuously ensures to make your data processing:
Our Offerings
250TB+ Yearly Data Volume
Fortune 100 Retailer
Processed huge volumes of customer and POS data, generating insights within seconds for users through scalable and highly effective data management
200 automated email variants across 14MN+ customers
Popular Restaurant Chain
200 automated email variants across 14MN+ customers
Popular Restaurant Chain
65% reduction in infrastructure costs
Major AdTech company
Migrated mission critical workload to the cloud. Collaborated with multiple client side teams to migrate proprietary databases and live data pipelines to the cloud.
99% System Uptime Delivered
Software
Provided a stable and highly scalable system with high data availability to effectively manage the infrastructure and prevent application downtime
99% System Uptime Delivered
Software
Provided a stable and highly scalable system with high data availability to effectively manage the infrastructure and prevent application downtime
< 3 seconds Average Query Response Time
Advertising Technology
Delivered a unified analytics platform to ingest and query data from different sources with the ability to schedule reports and set up alerts
Contribution in Cloud and Open-Source
We’ve worked extensively on Apache Spark, an open-source big data infrastructure that enables distributed fault-tolerant in-memory computation. Our team has been contributing to the open-source environment for 10+ years and has delivered multiple projects in this space:
- Committer in Pig
- 1st Deployment of Spark on GCP
- Spark Patches
- 1st Migration of Pig on Spark
- Frequent Speakers at ApacheCon
- Written Multiple Blogs on Open-Source Technologies
- Committer in Pig
- 1st Deployment of Spark on GCP
- Spark Patches
- 1st Migration of Pig on Spark
- Frequent Speakers at ApacheCon
- Written Multiple Blogs on Open-Source Technologies
Expertise in a broad spectrum of Engineering Technologies
Recommended Read
Apache Spark on DataProc vs Google BigQuery
When it comes to Big Data infrastructure on Google Cloud Platform, the most popular choices Data architects need to consider today are Google BigQuery – A serverless, highly scalable and cost-effective cloud data warehouse, Apache Beam based Cloud Dataflow, and Dataproc.