Description

You will design, develop, and manage data integration solutions across hybrid environments. You build scalable ETL/ELT pipelines to ensure data accuracy, quality, and consistency for enterprise systems.

Responsibilities

• Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms.
• Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts.
• Build and manage real-time and batch data pipelines leveraging technologies like Kafka and Spark Streaming.
• Implement data validation, cleansing, deduplication, and monitoring mechanisms to ensure high data quality.
• Troubleshoot and resolve data integration and pipeline issues, providing documentation and knowledge transfer.

Required Skills

• 5+ years of experience in data integration, data engineering, with strong ETL and SQL.
• Strong experience with integration tools such as Informatica, Talend, SSIS, or Boomi.
• Proficient in SQL and Python for data manipulation and automation.
• Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow.
• Familiarity with REST/SOAP APIs, JSON, XML, and flat file integrations.
• Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis) is preferred.

Preferred Skills

• Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
• Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.).

Key Skills

Education

Any Graduate