Data Engineer

NS Global Corporation • Python • SQL • ETL/ELT • 18 days ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (India)
Seniority
Senior · 7+ years exp

First seen by Alion on Sep 15, 2026.

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NS Global Corporation

NS Global Corporation is an Indian IT consulting and staff augmentation company that supplies engineers for AI and machine learning, cloud, CRM, ERP, DevOps and product engineering work. Established in 2015, it offers dedicated developers and project teams across Salesforce, SAP, ServiceNow, Workday and data platforms, and recruits for client assignments in Bengaluru, Hyderabad, Pune, Chennai and other Indian cities. Its openings are mainly contract and client roles such as SAP ABAP and functional consultants, Salesforce developers, Databricks and data engineers, AI engineers, QA leads and identity and access management analysts.
nsglobalcorporation.com • Hyderabad • Bengaluru • Mumbai • Kolkata • Chennai • Est. 2015

Job Overview :

We are looking for an experienced Data Engineer with 7+ years of experience in data engineering, with strong hands-on expertise in ETL/ELT, Databricks, GCP BigQuery, Python, and SQL. The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing solutions.

Key Responsibilities :

- Design, develop, and maintain scalable data engineering solutions.

- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.

- Work extensively with Databricks for data engineering and data processing requirements.

- Develop and optimize data solutions using GCP BigQuery.

- Develop data engineering solutions using Python.

- Write and optimize SQL queries for data extraction, transformation, analysis, and processing.

- Perform data transformation, integration, and processing across various data sources.

- Build and maintain reliable, scalable, and optimized data pipelines.

- Troubleshoot and resolve data pipeline and data processing issues.

- Collaborate with technical and business teams to understand data requirements and deliver effective data solutions.

Tech Stack :

- ETL/ELT, Databricks, GCP BigQuery, Python, SQL.

Required Skills :

- 7+ years of experience in Data Engineering.

- Strong hands-on experience with ETL/ELT processes and data pipelines.

- Strong hands-on experience with Databricks.

- Strong hands-on experience with GCP BigQuery.

- Strong programming experience with Python.

- Strong hands-on experience with SQL, including complex queries and data transformations.

- Strong understanding of data ingestion, transformation, integration, and processing.

- Experience developing and maintaining scalable data pipelines.

- Strong troubleshooting and problem-solving skills.

Preferred Profile :

- Strong hands-on experience in enterprise data engineering environments.

- Ability to work independently as well as collaboratively with cross-functional teams.

- Strong analytical and problem-solving capabilities.

Skills

Databricks, Python, SQL, ETL, BigQuery, Data Engineering, Data Ingestion, Google Cloud Platform

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