Senior Data Quality Engineer

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote or Hybrid
Senior level
Information Technology • Consulting
The Role
Test and validate data ingestion, transformation, and load processes across batch and streaming pipelines; verify warehouse/lakehouse schemas, completeness, accuracy, and timeliness; build automated data quality checks and integrate them into CI/CD; reconcile source-to-target data; validate BI reports and AI/ML models; support data migration, regression testing, monitoring, anomaly detection, and compliance-aware testing (CCPA/GDPR/PCI-DSS).
Summary Generated by Built In

Ciklum is looking for a Senior Data Quality Engineer to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role:

As a Senior Data Quality Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.

Responsibilities:

  • Data pipeline / ETL-ELT testing: validation of ingestion, transformation, and load processes across batch and streaming pipelines
  • Data warehouse and lakehouse validation: schema, completeness, accuracy, uniqueness, referential integrity, and timeliness
  • Source-to-target reconciliation: row counts, aggregate balancing, and field-level validation between operational systems (POS, e-commerce, OMS, ERP) and the data platform
  • Data quality automation: automated data validation frameworks (Great Expectations, dbt tests, Soda, or custom SQL frameworks) integrated into pipeline orchestration and CI/CD
  • BI and reporting validation: testing dashboards and reports — metric definitions, aggregations, and drill-down accuracy — against certified sources.
  • Data migration and conversion testing in support of platform initiatives
  • Regression testing of data models and semantic layers when upstream schemas or business rules change
  • Testing and validation of AI ML models plus Conversational BI including deep reasoning
  • Data quality monitoring, anomaly detection, and data incident triage support.Compliance-aware test practices for customer and transaction data (CCPA/GDPR, PCI-DSS), including masked/synthetic data usage
  • Compliance-aware test practices for customer and transaction data (CCPA/GDPR, PCI-DSS), including masked/synthetic data usage

Requirements:

  • Hands-on professional experience testing data pipelines, ETL/ELT processes, and data warehouse/lakehouse loads — not merely application testing of data-adjacent features
  • Advanced SQL proficiency, including complex joins, window functions, and aggregate reconciliation queries; proficiency will be verified during interviews and/or a practical assessment
  • Experience with at least one modern data platform (Snowflake, Databricks, Incorta, BigQuery, or Redshift) and one orchestration/transformation toolchain (dbt, Airflow, Informatica, or Spark)
  • Experience building or operating automated data quality checks (Great Expectations, dbt tests, Soda, or custom frameworks) integrated into pipelines or CI/CD
  • Experience validating BI dashboards and reports against certified data sources
  • Experience validating AI ML models plus Conversational BI (text to SQL) including deep reasoning
  • Retail data domain exposure (e.g., sales/transaction data, inventory, product/merchandising hierarchies, customer/loyalty data) — strongly preferred

What’s in it for you?

  • Strong community: Work alongside top professionals in a friendly, open-door environment
  • Growth focus: Take on large-scale projects with a global impact and expand your expertise
  • Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
  • Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
  • Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About us:

At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.

India is a strategic innovation hub for Ciklum, with growing teams in Chennai and Pune leading advancements in EdgeTech, AR/VR, IoT, and beyond. Join us to collaborate on game-changing solutions and take your career to the next level.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

#LI-MA1

Skills Required

  • Hands-on experience testing data pipelines, ETL/ELT processes, and data warehouse/lakehouse loads
  • Advanced SQL proficiency including complex joins, window functions, and aggregate reconciliation queries
  • Experience with at least one modern data platform (Snowflake, Databricks, Incorta, BigQuery, or Redshift) and one orchestration/transformation toolchain (dbt, Airflow, Informatica, or Spark)
  • Experience building or operating automated data quality checks (Great Expectations, dbt tests, Soda, or custom frameworks) integrated into pipelines or CI/CD
  • Experience validating BI dashboards and reports against certified data sources
  • Experience validating AI/ML models and Conversational BI (text-to-SQL) including deep reasoning
  • Retail data domain exposure (sales/transaction data, inventory, product hierarchies, customer/loyalty data)
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The Company
HQ: London
2,995 Employees
Year Founded: 2002

What We Do

Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has software development centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Czech Republic, Slovakia, Romania, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Just Eat, Flixbus, Metro Markets, EFG International, Zurich Insurance, Lottoland and others. For more information about us visit www.ciklum.com

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