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Salary
≈ $22k – $46k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Oct 16, 2026.

Overview
Company
Impact
Profile match
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.

Job Summary:

We are looking for a Senior Data Analyst/Data Engineer with strong expertise in data analytics, data engineering, SQL, Python, ETL pipelines, and data visualization. The candidate will be responsible for building reliable data pipelines, analyzing complex datasets, developing dashboards, and delivering actionable business insights.

Key Responsibilities:

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

- Analyze large datasets to identify trends, patterns, and business insights.

- Write and optimize complex SQL queries for data processing and reporting.

- Use Python for data transformation, automation, and analytics.

- Build and maintain dashboards and reports using Power BI or Tableau.

- Develop data models and support data warehouse solutions.

- Ensure data quality, accuracy, and consistency across data systems.

- Collaborate with business stakeholders and technical teams to understand data requirements.

- Optimize data processing performance and troubleshoot data-related issues.

Required Skills:

- 5+ years of experience in data analytics and data engineering.

- Strong hands-on experience with SQL and Python.

- Experience with ETL/ELT pipelines and data integration.

- Knowledge of data modeling and data warehousing.

- Experience with Power BI or Tableau for reporting and visualization.

- Familiarity with cloud data platforms such as Azure, AWS, or GCP.

- Strong analytical, problem-solving, and communication skills.

Skills

Data Engineering, SQL, Python, ETL, Data Warehousing, Data Analytics, Data Pipeline, Analytics Dashboards, Power BI, Tableau

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