Only W2 | Sr. Data Engineer

Job Summary: 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 (GCP) 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.