Senior Data Engineer

Raas Infotek LTD; Jersey City (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

Raas Infotek LTD is seeking an experienced Senior Data Engineer to design, develop and maintain scalable data pipelines and data platforms. The role focuses on cloud technologies, ETL/ELT, data warehousing and big data tools. 13+ years of related experience is expected.

The ideal candidate will work with cross-functional teams to ensure data quality, security and reliable operations across cloud environments (AWS/Azure/GCP) and modern data platforms.

Qualifications

• 13+ years of experience in Data Engineering or related roles.
• Proficiency in Python, Java, or Scala.
• Strong SQL and database development experience.
• Hands-on with ETL/ELT tools and data integration.
• Experience with Spark, Hadoop, Kafka or similar big data tech.
• Cloud platforms such as AWS, Azure or GCP.
• Experience with Snowflake, Databricks, BigQuery or Redshift.
• Data warehousing and data modeling expertise.
• Knowledge of Airflow, Databricks or other workflow tools.
• Git, CI/CD and DevOps practices.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Design, develop and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data warehouses, data lakes and data processing solutions.
• Work with large datasets from multiple sources.
• Develop efficient data integration and transformation processes.
• Collaborate with Data Scientists, Data Analysts, Software Engineers and business teams.
• Ensure data quality, accuracy, security and reliability.
• Optimize data pipelines and database performance.
• Troubleshoot data processing and integration issues.
• Implement data engineering best practices and maintain documentation.
• Participate in architecture, design, development, testing and deployment activities.
• Support cloud-based data migration and modernization initiatives.

Skills

Python/Java/Scala

SQL & Databases

ETL/ELT

Spark/Hadoop/Kafka

Cloud Platforms

Snowflake/Databricks/BigQuery/Redshift

Data Warehousing/Modeling

Airflow/Databricks

Git/CI-CD/DevOps

Analytical/Communication

Education

Bachelor’s degree in CS/IT/Engineering

Master’s degree preferred

Certifications in cloud/data engineering a plus

Tools

Snowflake

Databricks

BigQuery

Redshift

Airflow

Git

CI/CD

Job description

Experience

13+ Years

Job Type

Full-Time

Job Summary

We are looking for an experienced Senior Data Engineer with 13+ years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in data engineering, cloud technologies, ETL/ELT, databases, and big data technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data warehouses, data lakes, and data processing solutions.
• Work with large and complex datasets from multiple sources.
• Develop efficient data integration and transformation processes.
• Collaborate with Data Scientists, Data Analysts, Software Engineers, and business teams.
• Ensure data quality, accuracy, security, and reliability.
• Optimize data pipelines and database performance.
• Troubleshoot data processing and integration issues.
• Implement data engineering best practices and maintain technical documentation.
• Participate in architecture, design, development, testing, and deployment activities.
• Support cloud-based data migration and modernization initiatives.

Required Skills

• 13+ years of experience in Data Engineering or related roles.
• Strong programming experience with Python, Java, or Scala.
• Strong SQL and database development experience.
• Hands-on experience with ETL/ELT tools and data integration.
• Experience with Apache Spark, Hadoop, Kafka, or similar big data technologies.
• Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Experience with data warehousing and data modeling.
• Knowledge of Airflow, Databricks, or other workflow orchestration tools.
• Experience with Git, CI/CD, and DevOps practices.
• Strong analytical, problem-solving, and communication skills.

Education

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Master’s degree in a related field is preferred.
• Relevant certifications in AWS, Azure, Google Cloud Platform, Databricks, Snowflake, or Data Engineering are a plus.