Sr. Data Engineer - Qlik Data Engineer/Developer
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
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.
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
Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
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
Testing & Automation Write unit test cases validate the data integrity & consistency requirements build automated data pipelines using GitLab Github CICD tools.
Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production disaster recovery and support activities.
Technical/Business Skills:
Strong hands-on experience in building robust metadata-driven automated data pipeline solutions leveraging modern cloud-based data technologies tools for large data platforms.
Strong experience leveraging data security governance methodologies meeting data compliance requirements.
Strong hands-on experience building medallion architecture automated ELT data pipelines snowpipe frameworks leveraging Qlik Replicate DBT Cloud snowflake with CICD.
Strong hands-on experience building data pipelines data integrity solutions across multiple data sources and targets like SQL Server Oracle Mainframe-DB2 files Snowflake.
Experience working with various structured & semi-structured data files - CSV fixed width JSON XML Excel and mainframe VSAM.
Experience using S3 Lambda SQS SNS Glue RDS AWS services.
Excellent proficiency in Python Pyspark advanced SQL for ingestion frameworks and automation.
Hands-on data orchestration experience using DBT cloud Astronomer Airflow.
Experience in implementing logging monitoring alerting observability performance tuning techniques.
Implement and maintain sensitive data protection strategies tokenization snowflake data masking policies dynamic & conditional masking and role based masking rules.
Strong experience designing implementing RBAC data access controls adopting governance standards across Snowflake and supporting systems.
Strong experience in adopting release management guidelines code deployment to various environments implementing disaster recovery strategies leading production activities.
Experience implementing schema drift detection and schema evolution patterns.
Financial banking experience is a plus.
Must have one or more certifications in the relevant technology fields.
Salary Range- $100000-$110000 a year
#LI-SP3
#LI-VX1
Sr. Data Engineer - Qlik Data Engineer/Developer 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 Hands-...
Sr. Data Engineer - Qlik Data Engineer/Developer
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
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.
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
Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
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
Testing & Automation Write unit test cases validate the data integrity & consistency requirements build automated data pipelines using GitLab Github CICD tools.
Code Deployment & Release Management - Adopt release management processes to promote code deployment to various environments including production disaster recovery and support activities.
Technical/Business Skills:
Strong hands-on experience in building robust metadata-driven automated data pipeline solutions leveraging modern cloud-based data technologies tools for large data platforms.
Strong experience leveraging data security governance methodologies meeting data compliance requirements.
Strong hands-on experience building medallion architecture automated ELT data pipelines snowpipe frameworks leveraging Qlik Replicate DBT Cloud snowflake with CICD.
Strong hands-on experience building data pipelines data integrity solutions across multiple data sources and targets like SQL Server Oracle Mainframe-DB2 files Snowflake.
Experience working with various structured & semi-structured data files - CSV fixed width JSON XML Excel and mainframe VSAM.
Experience using S3 Lambda SQS SNS Glue RDS AWS services.
Excellent proficiency in Python Pyspark advanced SQL for ingestion frameworks and automation.
Hands-on data orchestration experience using DBT cloud Astronomer Airflow.
Experience in implementing logging monitoring alerting observability performance tuning techniques.
Implement and maintain sensitive data protection strategies tokenization snowflake data masking policies dynamic & conditional masking and role based masking rules.
Strong experience designing implementing RBAC data access controls adopting governance standards across Snowflake and supporting systems.
Strong experience in adopting release management guidelines code deployment to various environments implementing disaster recovery strategies leading production activities.
Experience implementing schema drift detection and schema evolution patterns.
Financial banking experience is a plus.
Must have one or more certifications in the relevant technology fields.
Salary Range- $100000-$110000 a year
#LI-SP3
#LI-VX1
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