<p>Sr. Data Engineer - Qlik Data Engineer/Developer</p> <ul> <li>Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities </li><li>Hands-on Data Pipeline Development - Implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources. </li><li>Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards </li><li>Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions </li><li>Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy </li><li>Testing & Automation - Write unit test cases, validate the data integrity & consistency requirements, build automated data pipelines using GitLab, Github, CICD tools. </li><li>Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities. </li></ul> <p>Technical/Business Skills:</p> <ul> <li>Strong hands-on experience in building robust metadata-driven, automated data pipeline solutions leveraging modern cloud-based data technologies, tools for large data platforms. </li><li>Strong experience leveraging data security, governance methodologies meeting data compliance requirements. </li><li>Strong hands-on experience building medallion architecture automated ELT data pipelines, snowpipe frameworks leveraging Qlik Replicate, DBT Cloud, snowflake with CICD. </li><li>Strong hands-on experience building data pipelines, data integrity solutions across multiple data sources and targets like SQL Server, Oracle, Mainframe-DB2, files, Snowflake. </li><li>Experience working with various structured & semi-structured data files - CSV, fixed width, JSON, XML, Excel, and mainframe VSAM. </li><li>Experience using S3, Lambda, SQS, SNS, Glue, RDS AWS services. </li><li>Excellent proficiency in Python, Pyspark, advanced SQL for ingestion frameworks and automation. </li><li>Hands-on data orchestration experience using DBT cloud, Astronomer Airflow. </li><li>Experience in implementing logging, monitoring, alerting, observability, performance tuning techniques. </li><li>Implement and maintain sensitive data protection strategies - tokenization, snowflake data masking policies, dynamic & conditional masking, and role based masking rules. </li><li>< span style="white-space:pre"> Strong experience designing, implementing RBAC, data access controls, adopting governance standards across Snowflake and supporting systems. </li><li>Strong experience in adopting release management guidelines, code deployment to various environments, implementing disaster recovery strategies, leading production activities. </li><li>Experience implementing schema drift detection and schema evolution patterns. </li><li>Financial banking experience is a plus. </li><li>Must have one or more certifications in the relevant technology fields. </li></ul> <p>Salary Range- $100,000-$110,000 a year</p> <p>#LI-SP3</p> <p>#LI-VX1</p>