We are looking for a detail-oriented and technically skilled Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs.
Key Responsibilities:
Integration Design & Development
· 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 tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts.
· Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,.
Data Quality & Governance
· Ensure high data quality, accuracy, and consistency during data ingestion and transformation.
· Implement data validation, cleansing, deduplication, and monitoring mechanisms.
· Contribute to metadata management, data lineage, and data catalog initiatives.
Collaboration & Troubleshooting
· Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions.
· Troubleshoot and resolve data integration and pipeline issues in a timely manner.
· Provide documentation and knowledge transfer for developed solutions.
Platform & Infrastructure Support
· Support data movement across hybrid environments (on-prem, cloud, third-party systems).
· Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure.
Qualifications:
· Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
· 4–8 years of experience in data integration, data engineering, with strong ETL and SQL.
· Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi.
· Proficient in SQL, Python, and scripting for data manipulation and automation.
· Experience with cloud data platforms (Google Cloud Platform) and services such as Google Cloud Dataflow.
· Familiarity with REST/SOAP APIs, JSON, XML, and flat file integrations.
Preferred Skills:
· Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis).
· Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
· Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.).
· Prior experience in industries like healthcare, fintech, or e-commerce is a plus.
Soft Skills:
· Strong problem-solving and debugging skills.
· Excellent communication and collaboration abilities.
· Ability to manage multiple priorities and deliver in a fast-paced environment.
Attention to detail and a commitment to delivering high-quality work.
Never miss an opportunity! Create an alert based on the job you applied for.
