Senior Data Engineer

Experience: 10+ Years
Job Type: Contract W2

Job Summary

We are seeking an experienced Senior Data Engineer with 10+ years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in ETL/ELT development, cloud technologies, data warehousing, and big data processing.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.

• Build and optimize data integration and transformation workflows.

• Work with large datasets using SQL, Python, and PySpark.

• Develop and manage data solutions using AWS, Azure, or Google Cloud Platform.

• Implement data warehouses, data lakes, and lakehouse architectures.

• Perform data modeling, data validation, and performance tuning.

• Collaborate with data analysts, architects, and business stakeholders.

• Ensure data quality, security, governance, and pipeline reliability.

Required Skills

• 10+ years of experience in Data Engineering.

• Strong expertise in SQL, Python, and PySpark.

• Hands-on experience with ETL tools such as Informatica, Talend, or AWS Glue.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

• Strong knowledge of Snowflake, Databricks, BigQuery, or Redshift.

• Experience with Apache Spark, Kafka, and distributed data processing.

• Good understanding of data warehousing and data modeling concepts.

• Excellent problem-solving and communication skills.

Preferred Qualifications

• Experience with CI/CD, Git, and DevOps practices.

• Knowledge of Airflow, Azure Data Factory, or similar orchestration tools.

• Experience with real-time data processing and data governance.

• Ability to lead technical discussions and mentor junior developers.