Lead Data Quality Engineer

Lead Data Quality Engineer

Experience: 8 - 12 Years
Salary: Competitive
Preferred Notice Period: Within 30 Days

Shift: 10:00 AM to 06:00 PM IST

Opportunity Type: Hybrid - Ahmedabad

Placement Type: Permanent

(*Note: This is a requirement for one of Uplers' Clients.)

Must have skills required :

SQL, ETL, Python, data quality, Data Governance, AWS, Azure

Good to have skills :

GDPR, HIPAA, machine learning, Data certification, Big Data

Inferenz (One of Uplers' Clients) is Looking for:

Lead Data Quality Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

We are looking for a highly skilled Lead Data Quality Engineer to drive data accuracy, consistency, and integrity across our data ecosystem. The ideal candidate will be responsible for designing, implementing, and overseeing data quality frameworks, ensuring compliance with best practices, and collaborating with cross-functional teams to maintain high data standards.

Key Responsibilities:

• Data Quality Strategy: Develop and implement data quality frameworks, policies, and best practices to enhance data governance and integrity.
• Data Profiling & Analysis: Conduct data profiling, anomaly detection, and root cause analysis to identify and resolve data quality issues.
• Data Validation & Cleansing: Implement automated and manual data validation techniques to ensure completeness, consistency, and accuracy.
• Data Governance & Compliance: Ensure adherence to data governance principles, regulatory requirements, and industry standards.
• ETL & Data Pipelines Monitoring: Work closely with data engineering teams to maintain and enhance data pipelines with embedded quality checks.
• Automation & Testing: Develop automated data quality tests, monitoring dashboards, and alerts using SQL, Python, or other data tools.
• Collaboration & Stakeholder Management: Partner with data engineers, analysts, and business teams to establish quality metrics and ensure alignment on data quality objectives.
• Performance Monitoring & Reporting: Track and report data quality KPIs, create dashboards, and provide insights to leadership.

Required Skills & Qualifications:

• Experience: 7+ years of experience in data quality, data governance, or data engineering roles, with at least 2 years in a leadership capacity.

Technical Skills:

• Strong expertise in SQL for data querying, validation, and analysis.
• Experience with ETL processes, data pipelines, and data integration tools (Airflow, Talend, Informatica, DBT, etc.).
• Proficiency in Python, PySpark, or other scripting languages for data automation.
• Hands-on experience with Data Quality and Governance tools (Collibra, Alation, Talend DQ, Great Expectations, etc.).
• Knowledge of cloud platforms (AWS, Azure, GCP) and modern data architectures.
• Familiarity with Big Data technologies (Spark, Snowflake, Databricks, etc.) is a plus.

Soft Skills:

• Strong problem-solving and analytical skills.
• Excellent communication and stakeholder management abilities.
• Ability to lead and mentor a team of data engineers or analysts.
• Detail-oriented with a proactive approach to data quality management.

Preferred Skills :

• Experience in regulated industries (finance, healthcare, etc.) with data compliance knowledge (GDPR, HIPAA, etc.).
• Exposure to machine learning data quality frameworks is a plus.
• Data certification (e.g., CDMP, Collibra Ranger, or similar) is a plus.

How to Apply?

Easy 3-Step Process:

• Step 1: Click On Apply! And Register or log in on our portal
• Step 2: Upload updated Resume & Complete the Screening Form
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  

About Our Client:

At Inferenz, our team of innovative technologists and domain experts help accelerating the business growth through digital enablement and navigating the industries with data, cloud and AI services and solutions. We dedicate our resources to increase efficiency and gain a greater competitive advantage by leveraging various next generation technologies. Our technology expertise has helped us delivering the innovative solutions in key industries such as Healthcare & Life Sciences, Consumer & Retail, Financial Services and Emerging industries.

About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!