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Data Quality Integration Engineer

5 - 9 years

0 Lacs

karnataka

Posted:1 week ago| Platform: Shine logo

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Skills Required

snowflake sql scripting python scala data profiling data cleansing data monitoring data quality tools sql databases data pipeline development rest apis metadata integration

Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Quality Integration Engineer, your primary responsibility will be to incorporate data quality capabilities into enterprise data landscapes. You will play a crucial role in integrating advanced data quality tools like Ataccama and Collibra with cloud data platforms such as Snowflake and SQL databases. Your role is essential in ensuring that data governance standards are met through robust, scalable, and automated data quality processes. In this role, you will need to develop scalable applications using appropriate technical options and optimize application development, maintenance, and performance. You will be required to implement integration of data quality tools with Snowflake and SQL-based platforms, develop automated pipelines and connectors for data profiling, cleansing, monitoring, and validation, and configure data quality rules aligned with governance policies and KPIs. Troubleshooting integration issues, monitoring performance, and collaborating with various teams to align solutions with business needs will also be part of your responsibilities. You will need to adhere to coding standards, perform peer reviews, write optimized code, create and review design documents, templates, test cases, and checklists, and develop and review unit and integration test cases. Additionally, you will estimate efforts for project deliverables, track timelines, perform defect RCA, trend analysis, and propose quality improvements, and mentor team members while managing aspirations and keeping the team engaged. To excel in this role, you must have strong experience with data quality tools like Ataccama and Collibra, hands-on experience with Snowflake and SQL databases, proficiency in SQL scripting and data pipeline development (preferably Python or Scala), and a sound understanding of data profiling, cleansing, enrichment, and monitoring. Knowledge of REST APIs, metadata integration techniques, and cloud platforms like AWS and Azure would be advantageous. Furthermore, soft skills such as strong analytical and problem-solving abilities, effective communication and presentation skills, and the ability to manage high-pressure environments and multiple priorities are essential. Certification in Ataccama, Collibra, Snowflake, AWS, or Azure, along with domain knowledge in enterprise data architecture and financial services, insurance, or asset management domains, would be beneficial for this role.,

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