Data Engineer

AnuVira Global Solutions • Python • SQL • ETL/ELT • AWS Glue • 3 hours ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
Remote (likely India)
Experience
5+ years exp

First seen by Alion on Oct 15, 2026.

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AnuVira Global Solutions

AnuVira Global Solutions and Services is an information technology staffing and consulting firm that helps organizations build and scale specialized technical teams. Headquartered in Hyderabad, Telangana, India, the company provides comprehensive workforce solutions, including contract-to-hire staffing, permanent recruitment, and technology advisory services. Its capabilities focus on sourcing qualified talent across demanding modern domains such as cloud computing, artificial intelligence, data analytics, enterprise software, and cybersecurity.
anuvira.com • HQ: Hyderabad, India

About the Role :

We are hiring experienced Data Engineers for an exciting opportunity.

Mandatory Skills :

- Strong expertise in Advanced SQL, Python, and PySpark

- Hands-on experience with Snowflake, Apache Spark, AWS Glue, and Airflow

- AWS services : Lambda, Glue, S3, and related data engineering services

- Strong understanding of Snowflake architecture, internal/external tables, stages, and masking policies

- Experience working with Big Data platforms

- Hands-on experience with AI-assisted development tools such as Cursor, Claude, and GitHub Copilot for code generation, debugging, SQL optimization, code reviews, and validating AI-generated code


Key Responsibilities :


- Architect and implement scalable ETL/ELT pipelines using PySpark and AWS Glue to process large-scale datasets for downstream consumption.


- Optimize complex SQL queries and database schemas within Snowflake to improve performance and reduce operational costs for business users.


- Orchestrate and monitor automated data workflows using Airflow to ensure timely delivery and data integrity across all production environments.


- Collaborate with engineering teams to integrate disparate data sources, ensuring seamless data flow and consistency throughout the enterprise data warehouse.


- Maintain high standards of code quality and documentation to facilitate long-term system maintainability and knowledge sharing within the engineering team.

Skills

Data Engineering, SQL, Python, PySpark, Hadoop, AWS, Apache Spark, AWS Glue, Generative AI, Snowflake DB, Apache Airflow

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