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


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?

E2E data engineering services

From strategy and planning through implementation and managed services for clients from various industries

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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