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Salary
≈ $27k – $57k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Sep 21, 2026.

Overview
Company
Impact
Profile match
Crescendo Global is an Indian recruitment consultancy and executive search firm based in Gurgaon (Gurugram) that fills mid-level and senior roles for banking and financial services, technology, analytics and global capability centre clients. Started in 2014 with five consultants, it also offers contract hiring, market mapping, recruitment process outsourcing, employer of record and payroll services, with offices in Gurugram, Mumbai and Punjab and a US contact line. Its current mandates for clients across Bengaluru, Hyderabad, Pune, Chennai and Mumbai include data scientists and data engineers, Java architects, Murex specialists, Salesforce release managers and technical program managers.

Location : Bangalore

An exciting opportunity for a Consultant Data Engineer to design, build, and optimize scalable data solutions. The role involves working across data engineering, ETL/ELT, cloud platforms, big data technologies, data warehousing, and production data infrastructure.

Your Future Employer :

A leading global AI and analytics organization working on data engineering, advanced analytics, data governance, MLOps, and Generative AI solutions. The organization offers a collaborative environment where professionals can work on complex data challenges and continuously develop their expertise.

Responsibilities :

- Design, build, and optimize ETL/ELT pipelines for batch and streaming data.

- Develop and maintain data warehouses and data lakes.

- Build and manage data orchestration workflows.

- Implement data modeling, partitioning, and performance-tuning best practices.

- Monitor and troubleshoot data infrastructure issues in production.

Requirements :

- 5+ years of experience in Data Engineering or a related role.

- Strong proficiency in SQL and Python, with Scala/Java experience also considered.

- Hands-on experience with AWS cloud platforms.

- Experience with big data technologies such as Spark, Kafka, or dbt.

- Strong understanding of data warehousing concepts and dimensional modeling.

- Good understanding of CI/CD and Git/version control.

What is in it for you?

- Opportunity to work on large-scale data engineering initiatives.

- Exposure to cloud, big data, streaming, and modern data platforms.

- Opportunity to work with cross-functional teams including data scientists, analysts, and product teams.

- Collaborative environment focused on continuous learning and innovation.

Skills

Data Engineering, ETL, Big Data, Data Pipeline, Data Warehousing, SQL, Python, AWS, Spark, Scala

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