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# Data Engineer

- **Company:** VALLEY AUTO CENTER, INC.
- **Location:** Huntsville, AL, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Linux, DevOps, Distributed Computing Environment, Document-Oriented Databases, Apache Hadoop, Python (Programming Language), NoSQL, SQL Databases, Data Streaming, Data Processing, Cloud Platform System, Azure Data Factory, Snowflake, Apache Spark, Git, Information Technology, AWS Glue, Apache Kafka, Restful APIs, Terraform, Data Pipelines, Docker, Databricks
- **Published:** September 8, 2026
- **Apply:** https://www.careerjet.com/job/usac022f611eec3aebab43a40b1176aeac/eaa

## About the Role

Data Engineer Location Hyderabad, India (Hybrid) Employment Type Full-Time Experience 3-7 Years Salary ₹8 LPA - ₹18 LPA (Based on experience and skills) Job Summary We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate should have experience working with large datasets, cloud platforms, ETL processes, and data warehousing solutions. You will collaborate with data analysts, data scientists, and software engineers to ensure reliable and efficient data processing. Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data models and data warehouses. Integrate data from multiple sources into centralized repositories. Ensure data quality, consistency, and governance. Optimize SQL queries and improve data processing performance. Work with cloud-based data platforms and big data technologies. Monitor, troubleshoot, and resolve data pipeline issues. Collaborate with, Experience with streaming platforms like Kafka. Knowledge of DevOps and Infrastructure as Code. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Ability to work in Agile environments. Good time management and organizational skills. Quick learner with a proactive attitude. Benefits Competitive salary package Health insurance Performance bonus Flexible work environment Learning and certification support Paid leave and holidays Career growth opportunities Employee wellness programs AI Score Summary

## Description

cross-functional teams to support business intelligence and analytics. Implement data security and compliance best practices. Document data architecture and technical processes. Primary Skills Python SQL Apache Spark Apache Kafka ETL/ELT Development Data Warehousing Snowflake Apache Airflow Azure Data Factory (ADF) AWS Glue Databricks Git Secondary Skills Hadoop Ecosystem Docker Kubernetes Terraform Power BI Tableau Linux CI/CD Pipelines REST APIs Data Governance Required Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. 3-7 years of experience in Data Engineering. Strong programming skills in Python and SQL. Experience with cloud platforms such as AWS, Azure, or GCP. Hands-on experience with ETL tools and data pipelines. Strong understanding of relational and NoSQL databases. Knowledge of distributed data processing frameworks. Preferred Qualifications Experience with Databricks or Snowflake. Cloud certifications (AWS, Azure, or GCP).


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