Role: Data Engineer
Location: New Jersey (Hybrid 2 days onsite)

Summary:
We are seeking a highly skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data processing and transformation using Databricks, proficiency in SQL and Python, experience with Azure Data Factory, and a solid understanding of data warehouse migration strategies.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Databricks, and integrate with Azure Data Factory (ADF) workflows.
• Develop and optimize SQL queries and data models for performance and scalability.
• Lead data warehouse migration projects, including planning, execution, and validation of data transfer from legacy systems to modern platforms.
• Familiarity with cloud data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse.
• Collaborate with cross-functional teams to gather requirements, define data architecture, and implement solutions that adhere to business needs and data governance standards.
• Write complex data transformation logic using Python and Spark.
• P & C domain experience preffered
• Monitor and ensure the stability of data processing jobs, troubleshoot issues, and perform root cause analysis.
• Implement data quality checks, data cleansing procedures, and ensure data integrity.
• Document all data engineering processes and create standard operating procedures.
• Stay current with industry trends and best practices in data engineering and contribute to continuous improvement of the data platform.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• Minimum of 3 years of experience in a data engineering role with a focus on Databricks, data pipelines, and data warehouse technologies.
• Proven experience with SQL, Python, and Spark.
• Hands-on experience with Azure Data Factory and familiarity with other Azure services.
• Experience with data warehouse migration, including schema conversion, data replication, and ETL processes.
• Strong understanding of data modeling, data warehousing concepts, and big data architectures.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.

Preferred Skills:

• Certifications in Databricks and Azure Data Factory.
• Experience with additional cloud platforms (e.g., AWS, GCP) and data integration tools.
• Knowledge of data governance, security, and compliance best practices.
• Experience with CI/CD pipelines and version control systems like Git.