Job Description

No.of positions : 04 ( 3 for remote & 01 for onsite Bangalore)
experince : 5+ years
shift : General Shift
Interview Rounds : 02
We are seeking a Data Integration Engineer with expertise in building and orchestrating pipelines using Apache Airflow to integrate data from diverse sources into Snowflake. The ideal candidate will have strong experience with JDBC and API-based integrations (REST/JSON), hands-on skills in Postman, and proficiency in SQL encryption/decryption, Python development, and pipeline monitoring.
Key Responsibilities

• Design, develop, and maintain Airflow DAGs to orchestrate end-to-end data workflows.

• Integrate structured and unstructured data from multiple systems into Snowflake using JDBC connectors, APIs, and flat file ingestion.

• Work with Postman and other tools to test, validate, and automate API integrations.

• Implement SQL encryption/decryption techniques to secure sensitive datasets.

• Perform data quality checks including row-level validation, hash-based reconciliation, and exception handling.

• Build transformation logic in Python and SQL, ensuring performance and maintainability.

• Implement detailed logging, monitoring, and alerting to guarantee pipeline reliability and compliance.

• Collaborate with stakeholders to understand requirements and deliver scalable, production-ready solutions.

Required Skills

• Strong proficiency in Apache Airflow for workflow orchestration.

• Hands-on experience with Snowflake as a data warehouse.

• Proven ability to integrate data via JDBC drivers, REST APIs, and Postman-tested endpoints.

• Advanced knowledge of SQL, including encryption/decryption.

• Strong programming background in Python for ETL/ELT development.

• Experience with logging, monitoring, and data observability practices.

Skills Required