Sigmoid Data Engineering Services

End-to-end Data Engineering and Data Management solutions to deliver value to business use cases

Data analysts spend more than 70% of their time in data processing instead of analysis. Sigmoid’s data engineering services provide the right expertise to build and streamline data processing pipelines so that analysts can focus on value generation. Advanced data engineering consulting ensures that the data processing is:

Powerful
Fast
Reliable

Our Data Engineering Service Offerings

ETL and Data Warehousing

Improve data quality and discover new smarter information that matters to your business with our ETL Solutions. Create a robust data pipeline and reduce the average query processing time, generating faster insights with our expertise in ETL & data warehouse services.

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

MLOps

Realize business gains by deploying production-ready machine learning models into your workflows effectively. Operationalize and scale ML models with our MLOps practices that bring the right mix of data science, data engineer and DataOps expertise together.

200 automated email variants across 14MN+ customers

Popular Restaurant Chain

Developed an architecture to productionize the MAB model by automating pipelines in AWS that updated a CRM platform to trigger personalized emails to end customers

MLOps

Realize business gains by deploying production-ready machine learning models into your workflows effectively. Operationalize and scale ML models with our MLOps practices that bring the right mix of data science, data engineer and DataOps expertise together.

200 automated email variants across 14MN+ customers

Popular Restaurant Chain

Developed an architecture to productionize the MAB model by automating pipelines in AWS that updated a CRM platform to trigger personalized emails to end customers

MLOps

Realize business gains by deploying production-ready machine learning models into your workflows effectively. Operationalize and scale ML models with our MLOps practices that bring the right mix of data science, data engineer and DataOps expertise together.

Cloud Data Warehouse

Move from on-premise to cloud with cloud data warehouse services and improve business agility while saving costs. Our cloud experts assess and architect the ideal cloud architecture for your business and help in seamless migration without risking production SLA and data quality.

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.

DataOps

Drive reliable business availability and improve the quality of your data with DataOps services. Build and support your data infrastructure to ensure faster deployment of data pipelines, carry data automation, increase overall operational efficiency and achieve faster time to market.

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

DataOps

Drive reliable business availability and improve the quality of your data with DataOps services. Build and support your data infrastructure to ensure faster deployment of data pipelines, carry data automation, increase overall operational efficiency and achieve faster time to market.

Real-time Interactive Analytics, Sigview

Give your teams access to data in real-time and enable effortless ad-hoc exploration! SigView is a full-stack real-time analytics platform that helps analyze billions of ad impressions in real-time and report advertising performance across media platforms.

< 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

Our Data Engineering Services and Consulting have Transformed Data Strategies of many Industries

BFSI

Set up trade surveillance and made it regulatory compliant

0B
Market Data Event

Info Services

Delivered a production-grade free flow analytics solution

0M+
Business Records

CPG

Developed a production ready system to use ML models

0
Requests per Hour

Hi-Tech

Improved workflows, automated processes to increase uptime

0K
Containers

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.