Infosys
Infosys

Data Quality Consultant

RoleData Engineering
LevelMid Level
LocationBangalore, India
WorkOn-site
TypeFull-time
Posted1 week ago
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About the role

  • A day in the life of an Infoscion
  • As part of the Infosys delivery team, your primary role would be to interface with the client for quality assurance, issue resolution and ensuring high customer satisfaction.
  • You will understand requirements, create and review designs, validate the architecture and ensure high levels of service offerings to clients in the technology domain.
  • You will participate in project estimation, provide inputs for solution delivery, conduct technical risk planning, perform code reviews and unit test plan reviews.
  • You will lead and guide your teams towards developing optimized high quality code deliverables, continual knowledge management and adherence to the organizational guidelines and processes.
  • You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!
    If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!

Deploy across Data Management & Data Quality engagements with minimal reskilling. Work independently with customers, Infosys sales/delivery leadership (PMs, SPMs, GPMs) remotely or on-site. Contribute to practice development, proposals, and thought leadership.

  • Design & implement DQ solutions on Informatica DQ/CDQ, Collibra DQ, Ataccama, Precisely, Soda, Acceldata, IBM

  • Cloud-native DQ on Databricks (Delta Live Tables expectations, Unity Catalog constraints) & Snowflake (data metric functions, Dynamic Tables)

  • Hyperscaler-native: AWS Glue DQ (DQDL), Amazon Deequ; GCP Dataplex Auto DQ, Big Query DQ rules; Azure Purview / MS Fabric DQ

  • 2+ end-to-end DQ implementations on one or more enterprise DQ tools

  • Hands-on with Databricks / Snowflake native DQ or equivalent cloud lakehouse DQ

  • Proficiency in SQL, Python (Py Spark, pandas), dbt tests or Great Expectations for code-first DQ

  • Certifications: Informatica Cloud Data Quality Professional , Databricks Data Engineer, Snow Pro, AWS Data Analytics Specialty, GCP Professional Data Engineer

  • Data observability platforms: Monte Carlo, Lightup, Bigeye, or Acceldata Observe

  • Data contract standards (Open Data Contract) & producer-consumer quality enforcement

  • Real-time streaming DQ on Kafka / Kinesis / Pub-Sub

Education: Bachelor of Engineering

  • Preferred skills: Technology->Data Management->Data Management
  • ALL,Technology->Data Management
  • Data Quality->Informatica DQ,Technology->Data Management Meta Data->Collibra

Required skills

Data quality

Informatica

Collibra

Ataccama

Databricks

Snowflake

Consulting

About Infosys

BANGALORE

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