E2E data engineering services
From strategy and planning through implementation and managed services for clients from various industries
ACCELERATE YOUR DIGITAL MAP WITH ENTERPRISE DATA MANAGEMENT
Space helps enterprises solve their data challenges, improve end-user satisfaction, and help guide business strategies based on intelligent insights. Our data engineering team analyse structured, semi-structured, and unstructured data with the right technology, processing tools, and approach
Our Offerings
Data Ingestion
Extraction of structured, unstructured data coming from streaming and batch sources and refining/cleansing data to make it available on legacy database systems or cloud systems, to data scientists and business users for exploration and analysis
ELT / ETL
Extracting, processing, transforming, and loading data techniques into various relational, non-relational, noSQL, big data systems and/or cloud storages, depending on data availability, volume, velocity, type of data
Data Modernization
An efficient and smart approach for migrating business data to/from on-prem legacy systems into cloud storage infrastructure or new target platforms
Data Pipelines
Building production-grade replayable and independent data workflow pipelines to move, transform and store data using various legacy, Big Data and / or cloud orchestration and data management pipeline tools and techniques like DF, Databricks, Synapse, Informatica, etc., to process data in batch and real time
Real-Time Processing
Expertise in implementing real-time and batch data processing systems across distributed environments based on mobile, web hosting and cloud services
Why work with Space?
Top Data engineers
We bring in top-notch technology skills and experienced engineers to unlock your data engineering challenges
Diverse expertise
Engineering company with 10+ years of experience, we worked on hundreds of projects across industries, from ecommerce and fintech to healthcare and real estate, and beyond
Our Clients
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