Senior Data Engineer

Centillion Infotech LLC; Glendale (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Centillion Infotech LLC seeks a Senior Data Engineer in Glendale, CA to design and optimize scalable data solutions for BI, analytics, and enterprise initiatives. You will build ETL/ELT pipelines, data warehouses and lakes, and collaborate with analysts, architects, and engineers to deliver high-performance data platforms.

The ideal candidate has 9–13 years in data engineering, strong Python and SQL skills, cloud experience (AWS/Azure/GCP), and familiarity with Spark, Databricks, Snowflake, and

Qualifications

• Bachelor’s degree in CS/IT/Engineering or related field.
• 9–13 years of experience in data engineering and enterprise data solutions.
• Strong Python and SQL; experience with ETL/ELT pipelines.
• Data warehousing concepts, data modeling, and databases.
• Cloud experience with AWS/Azure/GCP.
• Experience with big data technologies and distributed processing.
• Analytical, problem‑solving, and communication skills.
• Knowledge of data governance and data quality frameworks.
• Experience with CI/CD and DevOps practices.
• Familiarity with Agile/Scrum environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data platforms, warehouses, and data lakes.
• Develop data integration solutions using batch and real-time processing.
• Perform data modeling, transformation, cleansing, and validation.
• Collaborate with stakeholders and analysts to understand data requirements.
• Implement cloud-based data technologies and modern data architectures.
• Optimize SQL queries, data processing jobs, and system performance.
• Ensure data quality, security, governance, and compliance.
• Troubleshoot data issues and provide root cause analysis.
• Develop and maintain technical documentation for data solutions.
• Participate in Agile ceremonies and code reviews.
• Mentor junior engineers and contribute to best practices.

Skills

Data engineering exp

Python

SQL

ETL pipelines

Data warehousing

Data modeling

Database technologies

Cloud platforms (AWS/Azure/GCP)

Big data processing

Analytical skills

Communication

Agile/Scrum

CI/CD

Data governance

Metadata management

Data quality

Education

Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field

Tools

Apache Spark

Hadoop

Kafka

Databricks

Snowflake

AWS Glue

Azure Data Factory

BigQuery

Job description

Job Title: Senior Data Engineer Location: Glendale, California, USA Job Type: Full-Time Experience: 9–13 Years Domain: Information Technology (IT)

Job Summary

We are seeking an experienced Senior Data Engineer to design, develop, and optimize scalable data solutions that support business intelligence, analytics, and enterprise data initiatives. The ideal candidate will have strong expertise in data engineering, cloud platforms, ETL/ELT pipelines, data modeling, and big data technologies. This role requires collaboration with data analysts, architects, business teams, and engineering teams to deliver reliable and high-performance data solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data platforms, data warehouses, and data lakes.
• Develop data integration solutions using batch and real-time processing frameworks.
• Perform data modeling, transformation, cleansing, and validation activities.
• Collaborate with business stakeholders and data analysts to understand data requirements.
• Implement solutions using cloud-based data technologies and modern data architectures.
• Optimize SQL queries, data processing jobs, and system performance.
• Ensure data quality, security, governance, and compliance standards.
• Troubleshoot complex data issues and provide root cause analysis.
• Develop and maintain technical documentation for data solutions.
• Participate in Agile ceremonies, design discussions, and code reviews.
• Mentor junior engineers and contribute to best practices within the data engineering team.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.
• 9–13 years of experience in Data Engineering, ETL development, and enterprise data solutions.
• Strong programming experience with Python, SQL, and data processing frameworks.
• Hands‑on experience designing and developing ETL/ELT pipelines.
• Strong experience with data warehousing concepts, data modeling, and database technologies.
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Experience with big data technologies and distributed processing systems.
• Strong analytical, problem‑solving, and communication skills.

Preferred Skills

• Experience with Apache Spark, Hadoop, Kafka, Databricks, or Snowflake.
• Experience with cloud data services such as AWS Glue, Azure Data Factory, BigQuery, or similar platforms.
• Knowledge of data lake, lakehouse, and modern data architecture patterns.
• Experience with CI/CD, DevOps practices, and automation.
• Familiarity with data governance, metadata management, and data quality frameworks.
• Experience working in Agile/Scrum environments.

Technical Skills

• Python
• SQL
• ETL / ELT Development
• Data Warehousing
• Data Modeling
• Data Lakes
• Apache Spark
• Databricks
• Snowflake
• Hadoop
• Kafka
• Cloud Platforms (AWS/Azure/GCP)
• Azure Data Factory / AWS Glue
• Database Technologies
• API Integration
• Git
• CI/CD Pipelines
• Agile/Scrum