Data Engineer

Hire

Data Engineer

Struggling to unlock the value hidden in diverse data formats? Hire data engineers who love complexity and create a link between raw data and actionable insights.

Instead of providing a one-size-fits-all template, we offer scalable data engineering solutions that are tailored to your specific needs. Let our skilled data engineers assist you in achieving your data-driven objectives, such as increased conversions, faster reporting, or cost-effectiveness.

How to hire Data Engineer through Spiral Mantra?

Share Your Requirements

Share Your Requirements

Speak with an expert of our team who can assist you with identifying your objectives, technical needs, and team dynamics.

Suitable Talent Shortlisted

Suitable Talent Shortlisted

We sort resumes according to relevant keywords, assess coding and problem-solving ability by live coding activities, and technical assessments.

Final Selection

Final Selection

We hand you the ropes. Get matched with pre-vetted candidates and conduct the interview according to your needs and wants.

Spiral Mantra’s Data Expertise

Cloud Data Engineering

Cloud Data Engineering
Hire a data engineer who can migrate the data infrastructure on cloud (AWS, Azure, GCP etc) which builds and manages scalable data solutions on the cloud that optimises data costs and resource utilisation.

Data Ingestion and Integration

Data Ingestion and Integration
Our Data Engineers to guarantee consistency and quality, extract data from a variety of sources (databases, APIs, sensors, etc.) and then transform and clean the data. Additionally, we deploy data lakes and warehouses for centralised storage.

Data Processing & Analytics

Data Processing & Analytics
Spiral Mantra's Data Engineers use machine learning models to design and implement predictive analytics by analysing data to find trends, patterns, and insights employing tools like python.

Data Security & Governance

Data Security & Governance
Data Security entails putting organisational and technical safeguards in place to guarantee the data's confidentiality, integrity, and availability. It also includes assuring data quality and regulatory compliance.
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