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HCLTech

Senior Test Specialist

Hyderabad · Senior

Older listing - lower visibility likelyVerified listingPosted 31d ago

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86Overall
64Skills
97Experience

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Skills required

23 listed
CI/CDDatabase TestingSource DataTransformation RulesAzure DevOpsPower BIDefect TrackingExtract Transform Load (ETL)+15 more
CI/CDDatabase TestingSource DataTransformation RulesAzure DevOps

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Job description

Job Summary

Key Responsibilities

  • Design, develop and test scalable batch and streaming data pipelines.
  • Validate end-to-end ETL and ELT workflows, including ingestion, curation, transformation and loading.
  • Perform data reconciliation, database testing and data-warehouse validation across large datasets.
  • Validate dashboards and BI reports against source data, transformation rules and business metrics.
  • Develop reusable test-automation frameworks using Python or Java and SQL.
  • Integrate automated data-quality tests into CI/CD pipelines.
  • Build and validate scalable data models using star, snowflake, normalised and denormalised structures.
  • Work with cloud data technologies such as BigQuery, Data Factory, Databricks, Spark, Kafka, Pub/Sub and Airflow.
  • Implement monitoring, alerting, data-quality controls and secure data-access practices.
  • Diagnose defects and data-quality issues, document findings and drive resolution with relevant teams.
  • Contribute to data governance, metadata, catalogue and lineage processes.
  • Collaborate with engineers, architects, analysts, data stewards and business stakeholders.
  • Participate actively in Agile planning, refinement and retrospective ceremonies.

Required Skills and Experience

  • Proven experience in data engineering, data-quality engineering or ETL testing.
  • Strong SQL skills and proficiency in Python; Java or Scala experience is beneficial.
  • Hands-on experience testing data ingestion, transformation, curation, loading and reporting processes.
  • Experience with cloud data services, preferably GCP or Azure.
  • Knowledge of distributed data-processing technologies such as Spark, Flink or Storm.
  • Familiarity with messaging technologies such as Kafka, Pulsar or Pub/Sub.
  • Strong understanding of database, data-warehouse and dimensional-modelling concepts.
  • Experience developing or using test-automation frameworks.
  • Familiarity with CI/CD tools such as Jenkins, GitHub Actions or Azure DevOps.
  • Experience with orchestration tools such as Airflow or Cloud Composer.
  • Ability to validate dashboards developed using Power BI, Tableau or similar BI tools.
  • Understanding of cloud security, IAM, authentication, authorisation and encryption.
  • Experience using JIRA or Azure DevOps for defect tracking and project management.
  • Strong analytical, troubleshooting, communication and stakeholder-management skills.
  • Ability to work independently, take ownership and deliver with minimal supervision.

Desirable Qualifications

  • ISTQB or CSQE certification.
  • Azure or GCP cloud certification.
  • Experience implementing reusable data-test automation frameworks.
  • Exposure to Kubernetes, containerisation, data governance, cataloguing and lineage tools.

In short :

 

  • experience in testing ETL or ETL - so I need someone who cna test ingestion, curation, load and also validate dashboards
  • someone who has automation mindset - any experience in having implemented automation framework is a plus
  • familiar with cloud platform
  • understanding of data models 
  • is able to run on their own with minimum hand holding (experience would define this)
  • collaborates with wider team and also communicates well

 

Key Responsibilities

Key Responsibilities

  • Design, develop and test scalable batch and streaming data pipelines.
  • Validate end-to-end ETL and ELT workflows, including ingestion, curation, transformation and loading.
  • Perform data reconciliation, database testing and data-warehouse validation across large datasets.
  • Validate dashboards and BI reports against source data, transformation rules and business metrics.
  • Develop reusable test-automation frameworks using Python or Java and SQL.
  • Integrate automated data-quality tests into CI/CD pipelines.
  • Build and validate scalable data models using star, snowflake, normalised and denormalised structures.
  • Work with cloud data technologies such as BigQuery, Data Factory, Databricks, Spark, Kafka, Pub/Sub and Airflow.
  • Implement monitoring, alerting, data-quality controls and secure data-access practices.
  • Diagnose defects and data-quality issues, document findings and drive resolution with relevant teams.
  • Contribute to data governance, metadata, catalogue and lineage processes.
  • Collaborate with engineers, architects, analysts, data stewards and business stakeholders.
  • Participate actively in Agile planning, refinement and retrospective ceremonies.

Required Skills and Experience

  • Proven experience in data engineering, data-quality engineering or ETL testing.
  • Strong SQL skills and proficiency in Python; Java or Scala experience is beneficial.
  • Hands-on experience testing data ingestion, transformation, curation, loading and reporting processes.
  • Experience with cloud data services, preferably GCP or Azure.
  • Knowledge of distributed data-processing technologies such as Spark, Flink or Storm.
  • Familiarity with messaging technologies such as Kafka, Pulsar or Pub/Sub.
  • Strong understanding of database, data-warehouse and dimensional-modelling concepts.
  • Experience developing or using test-automation frameworks.
  • Familiarity with CI/CD tools such as Jenkins, GitHub Actions or Azure DevOps.
  • Experience with orchestration tools such as Airflow or Cloud Composer.
  • Ability to validate dashboards developed using Power BI, Tableau or similar BI tools.
  • Understanding of cloud security, IAM, authentication, authorisation and encryption.
  • Experience using JIRA or Azure DevOps for defect tracking and project management.
  • Strong analytical, troubleshooting, communication and stakeholder-management skills.
  • Ability to work independently, take ownership and deliver with minimal supervision.

Desirable Qualifications

  • ISTQB or CSQE certification.
  • Azure or GCP cloud certification.
  • Experience implementing reusable data-test automation frameworks.
  • Exposure to Kubernetes, containerisation, data governance, cataloguing and lineage tools.

In short :

 

  • experience in testing ETL or ETL - so I need someone who cna test ingestion, curation, load and also validate dashboards
  • someone who has automation mindset - any experience in having implemented automation framework is a plus
  • familiar with cloud platform
  • understanding of data models 
  • is able to run on their own with minimum hand holding (experience would define this)
  • collaborates with wider team and also communicates well

 

Skill Requirements

Other Requirements

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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