Data Engineering Specialist

2 days ago

Kozhikode, Kerala, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Key Role Summary:

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Our organization seeks an experienced data engineering professional with a proven track record of building high-quality, scalable data ingestion and validation processes. This role is responsible for leading the development of robust data quality validation systems, designing AI-driven tools to identify anomalies, and collaborating with cross-functional teams to align system architecture with business needs.

Job Description:

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  • ">
  • Data Quality Management:">

Ensure accurate and consistent data across all sources and platforms.

">Scalable Data Validation:">

Design and implement robust data quality validation systems across multiple sources.

">AI-Driven Tools:">

Develop AI-driven tools that detect anomalies, identify irrational transactions, and provide early insight into data discrepancies.

">Engineering & Automation:">

Lead the development of data pipelines and validation scripts using Python, Alteryx, and integration into reporting tools.

">Pre-Processing Checks:">

Implement pre-processing checks for incoming files to detect issues before ETL pipelines are executed.

">AI & Machine Learning Integration:">

Build and deploy AI models to automate issue detection, enhance data lineage tracking, and generate intelligent alerts on unexpected changes.

">Collaboration:">

Collaborate with business analysts to incorporate predictive insights and pattern recognition from historical data anomalies.

">Data Governance:">

Partner with stakeholders to proactively identify and address reporting gaps or escalations.

">Auditability:">

Ensure auditability and traceability of decisions derived from enriched or corrected data.

">Cross-Functional Collaboration:">

Work closely with business analysts, data scientists, and engineering teams across India and the U.S. to align system architecture with business needs.

">Team Leadership:">

Lead a small, distributed team, mentoring junior engineers and analysts, and optimize headcount through AI augmentation, enabling skilled team members to focus on higher-value initiatives.

">

Required Skills & Qualifications:

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  • ">
  • 6–10 years of experience in data engineering, data quality, or analytics engineering roles.">
  • Proficient in Python, Alteryx, SQL, and cloud data platforms like Snowflake.">
  • Deep understanding of data pipelines, ETL/ELT processes, and data validation best practices.">
  • Experience with AI/ML in data quality (anomaly detection, NLP-driven validation, etc.).">
  • Familiarity with enterprise systems like Workday, Beeline, and custom Excel-based reporting.">
  • Strong interpersonal and communication skills to work with executive stakeholders and distributed teams.">

Preferred Attributes:

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  • ">
  • Experience leading data modernization or AI transformation projects.">
  • Prior exposure to dashboard adoption challenges and enterprise change management.">

Key Qualifications:

">

Bachelor's degree in Computer Science, Engineering, or related field.

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