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Azure Data Engineer/Data Engineer - Python/SQL/ETL Job Opening In India, India – Now Hiring TESTQ Technologies Limited


Job description

<p><p><b>About the Opportunity : <br/></b><br/>We are looking for a skilled Azure Data Engineer / Data Engineer with hands-on experience in Azure Data Factory, Snowflake, Databricks, and DBT to architect and implement large-scale data integration and transformation pipelines.<br/><br/>The ideal candidate will bring deep technical expertise in ETL/ELT design, data modeling, and big data processing, along with proficiency in Python and SQL for automating and optimizing complex data workflows.<br/><br/>Youll work in a high-impact role building and maintaining cloud-native data solutions that enable analytics, AI, and business intelligence initiatives across the organization.<br/><br/>This position is ideal for professionals passionate about designing high-performance, scalable, and secure data systems that serve as the backbone for enterprise decision-making.<br/><br/><b>What Youll Do : </b><br/><br/>- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory and Databricks for data ingestion, transformation, and orchestration.<br/><br/>- Implement data integration and transformation frameworks in Snowflake, ensuring high performance and scalability.<br/><br/>- Develop modular and reusable data pipelines with DBT for data transformation, lineage tracking, and testing.<br/><br/>- Build and manage data lakes and data warehouse solutions leveraging Azure Data Lake Storage (ADLS) and Snowflake.<br/><br/>- Write optimized SQL and Python scripts for data processing, validation, and automation.<br/><br/>- Collaborate with data scientists, BI developers, and product teams to ensure data availability, quality, and reliability.<br/><br/>- Design and implement data models (star/snowflake schemas) for analytics and reporting workloads.<br/><br/>- Optimize Spark and Databricks jobs for cost, performance, and scalability.<br/><br/>- Establish data quality validation, error handling, and automated monitoring frameworks.<br/><br/>- Integrate CI/CD pipelines for data workflows, ensuring repeatable, version-controlled deployments.<br/><br/>- Ensure compliance with data governance, security policies, and industry regulations.<br/><br/><b>What You Bring : </b><br/><br/>- 6 to 10 years of professional experience in data engineering or ETL development, with a focus on cloud data platforms.<br/><br/>- Hands-on experience with Azure Data Factory, Azure Databricks, and Snowflake.<br/><br/>- Proficiency in SQL and Python for developing transformation logic, validation, and automation scripts.<br/><br/>- Expertise in data warehousing concepts, data lake architectures, and big data processing.<br/><br/>- Experience with DBT (Data Build Tool) for transformation management, modular pipelines, and testing.<br/><br/>- Strong understanding of Spark, Delta Lake, and Parquet for distributed data processing.<br/><br/>- Working knowledge of ETL/ELT pipeline orchestration, metadata management, and data lineage tracking.<br/><br/>- Experience implementing CI/CD pipelines and DevOps for data workflows.<br/><br/>- Familiarity with Azure cloud services, including ADLS, Synapse, and Key Vault.<br/><br/>- Strong analytical, troubleshooting, and performance optimization skills.<br/><br/>- Bachelors or Masters degree in Computer Science, Data Engineering, or related field.<br/><br/><b>Preferred Skills : </b><br/><br/>- Experience with data governance frameworks, role-based security, and compliance standards.<br/><br/>- Familiarity with AWS Redshift or GCP BigQuery for multi-cloud data integration.<br/><br/>- Exposure to Airflow, Prefect, or other workflow orchestration tools.<br/><br/>- Understanding of ML pipelines and feature store management within data ecosystems.<br/><br/>- Certifications in Azure Data Engineer, Snowflake, or Databricks are a plus<br/><br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TESTQ Technologies Limited adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Azure Data Engineer/Data Engineer Python/SQL/ETL typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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TESTQ Technologies Limited interview tips for Azure Data Engineer/Data Engineer   Python/SQL/ETL

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Before the Interview:

Research: Learn about the TESTQ Technologies Limited's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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To prepare for your Azure Data Engineer/Data Engineer Python/SQL/ETL interview at TESTQ Technologies Limited, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TESTQ Technologies Limited's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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