Data Engineer

Title :- Data Engineer with Python Location :- Pittsburg PA -Onsite Position on C2C/W2 Visa :-USC and Green Card Job Description We are seeking an experienced Data Engineer with strong expertise in Python and/or Java development to join our team in Pittsburgh, PA. The ideal candidate will have hands-on experience building scalable data pipelines, working with large datasets, and developing robust data engineering solutions in cloud and distributed environments. The candidate should possess strong problem-solving skills, experience with modern data architectures, and the ability to collaborate with cross-functional teams including Data Scientists, Analysts, and Software Engineers. Key Responsibilities • Design, develop, and maintain scalable data pipelines and ETL/ELT processes. • Build and optimize large-scale data processing systems using Python and/or Java. • Develop and maintain data integration solutions for structured and unstructured data sources. • Work with distributed data processing frameworks and big data technologies. • Collaborate with business stakeholders and technical teams to understand data requirements and deliver scalable solutions. • Ensure data quality, governance, security, and performance optimization across data platforms. • Develop APIs and automation scripts for data ingestion and transformation processes. • Monitor and troubleshoot data workflows and production issues. • Participate in architecture discussions and contribute to data platform modernization initiatives. Required Skills • 8+ years of experience in Data Engineering or related field. • Strong programming experience in Python and/or Java. • Hands-on experience with ETL development and data pipeline orchestration. • Strong SQL skills and experience with relational and NoSQL databases. • Experience with big data technologies such as Spark, Hadoop, Kafka, or similar frameworks. • Experience with cloud platforms such as AWS, Azure, or GCP. • Familiarity with workflow orchestration tools like Airflow. • Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Hive. • Strong understanding of data modeling and data architecture principles. • Experience with CI/CD pipelines and version control systems like Git. Preferred Skills • Experience with real-time streaming data pipelines. • Knowledge of containerization technologies such as Docker and Kubernetes. • Exposure to DevOps practices and infrastructure automation. • Experience working in Agile/Scrum environments. Education • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field. Key Competencies • Strong analytical and problem-solving skills • Excellent communication and collaboration abilities • Ability to work in a fast-paced environment • Self-motivated and detail-oriented professional Thanks and Regards Khursheed war Email: Khursheed.a@sitwinc.com