Hire Data Engineers for Scalable Pipelines
Build reliable data pipelines, lakehouses, and real-time streaming architectures. From ETL ingestion to BI-ready warehouses, our engineers turn raw data into actionable insight.
Why Hire Our Data Engineers?
Seasoned data engineers who build production-grade pipelines, warehouses, and analytics platforms.
Pipeline Experts
Build robust ETL/ELT pipelines using Spark, Kafka, and Airflow that process millions of records reliably.
Cloud Data Warehousing
Architect scalable data warehouses on Snowflake, BigQuery, and Redshift with optimized query performance.
Real-Time Streaming
Design Kafka and Flink streaming architectures for real-time analytics and event-driven systems.
Data Governance & Quality
Implement data governance, lineage tracking, schema enforcement, and automated quality checks.
Our Development Process
Data audit & discovery
Assess existing data sources, quality, volume, and pipeline gaps.
Architecture design
Design a scalable data lakehouse, warehouse, or streaming architecture.
Engineer selection
Match data engineers with your tech stack and domain needs.
Pipeline development
Build ingestion, transformation, and orchestration layers sprint-by-sprint.
Testing & monitoring
Validate data quality, set up alerting, and create observability dashboards.
Deployment & handover
Deploy to cloud, document pipelines, and train your team.
Why CognyX AI?
Our Core AI Services
Industries we serve
Education
EdTech
Finance
Logistics
Supply Chain
Manufacturing
Retail
eCommerce
Hospitality
Travel
Insurance
Real Estate
Telecom
Data Pipeline Engineering
- ETL & ELT pipeline development
- Apache Spark batch processing
- Apache Kafka streaming
- Apache Airflow orchestration
- dbt transformations
- Pipeline monitoring & alerting
Data Warehouse & Lakehouse
- Snowflake architecture
- BigQuery & Redshift setup
- Delta Lake & Apache Iceberg
- Data modelling (star/snowflake schema)
- Query optimization
- Cost management
Analytics & BI Integration
- BI tool integration (Tableau, Looker, Power BI)
- Self-serve analytics platforms
- Data lineage & cataloging
- KPI dashboards
- Data governance frameworks
- Ad-hoc reporting infrastructure
EXPERTISE IN MODERN TECH STACKS
Flexible Hiring Models
Dedicated Developer
Full-time exclusive focus.
Hourly Hiring
Short-term tasks & consulting.
Project-Based
Fixed scope and timeline.
Frequently Asked Questions
Everything you need to know before hiring our data engineers.
Our data engineers build batch, streaming, and real-time pipelines using Apache Spark, Kafka, Airflow, Flink, and dbt on AWS, GCP, or Azure.
Yes. We assess your current setup and extend or modernise it without disrupting ongoing operations.
Absolutely. We design and execute cloud migrations to Snowflake, BigQuery, or Redshift with zero data loss guarantees.
We implement automated data quality checks, schema enforcement, anomaly detection, and lineage tracking from day one.
Yes. We specialize in real-time streaming with Kafka, Kinesis, Flink, and Spark Streaming for event-driven architectures.
Yes. You can engage data engineers on-demand, part-time, or full-time depending on your project scope.
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