Data Engineer: Cloud Data Pipelines & Lakehouse

Creative Information Technology India

Falls Church (VA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Creative Information Technology Inc is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines for the Enterprise Data Warehouse and Data Lake solutions. You will implement ingestion, transformation, and integration workflows using PySpark on AWS, ensuring data quality and analytics readiness.

Responsibilities include building data architectures, coordinating with teams, and enforcing CI/CD and IaC practices to improve scalability and cost efficiency.

Qualifications

  • Bachelor’s or master’s degree in CS/Stats/Math/Economics or related field.
  • 3+ years of experience building data pipelines on AWS or equivalent cloud platforms.
  • Proficient in Python and SQL; Spark (PySpark) experience.
  • Experience with ETL processes and data architecture.

Responsibilities

  • Design, build, and maintain data pipelines and infrastructure to support data-driven decisions.
  • Develop data lakehouse architectures (data lake, data warehouse, data marts) for analytics.
  • Implement data reliability, quality checks, and performance improvements.
  • Collaborate with multiple teams and ensure security and compliance of pipelines.

Skills

Python
SQL
Apache Spark (PySpark)
ETL
Airflow
CI/CD
Terraform
AWS
AWS Glue
Delta Lake
Iceberg
Data Pipelines

Education

Bachelor’s or Master’s in CS/Stats/Math/Economics

Tools

AWS Glue
S3
Redshift
Athena
EMR
Iceberg
Delta Lake
Airflow

Job description

Creative Information Technology Inc is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines for the Enterprise Data Warehouse and Data Lake solutions. You will implement ingestion, transformation, and integration workflows using PySpark on AWS, ensuring data quality and analytics readiness.

Responsibilities include building data architectures, coordinating with teams, and enforcing CI/CD and IaC practices to improve scalability and cost efficiency.

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