NEWPosted 3 hours ago

Job ID: JOB_ID_8842

Job Overview:

We are seeking a highly skilled Data Engineer with strong DataEQ (Data Engineering Quality Informatica Data Quality) expertise to design, build, and maintain scalable data pipelines with embedded data quality, validation, and observability. The role will focus on ensuring high data reliability, consistency, and trust across enterprise data platforms supporting analytics, reporting, and AIML use cases.

Key Responsibilities:

  • Data Engineering Pipeline Development: Design, develop, and maintain robust, scalable data pipelines using batch and streaming frameworks. Build and optimize ETL/ELT workflows across structured and semi-structured data sources. Implement data ingestion from multiple systems (databases, APIs, files, cloud storage).
  • Data Quality DataEQ Implementation: Implement DataEQ frameworks for Data profiling, validation, completeness, accuracy, and consistency checks. Rule-based and threshold-based quality controls. Anomaly detection and trend monitoring. Integrate Informatica Data Quality (IDQ DataEQ) or equivalent data quality tools into data pipelines. Define and maintain data quality rules, scorecards, and KPIs aligned to business requirements. Proactively identify, triage, and resolve data quality issues across upstream and downstream systems.
  • Data Governance & Observability: Collaborate with data governance teams to enforce data standards, metadata management, and lineage. Enable data observability through monitoring, alerting, and logging mechanisms. Support auditability, compliance, and traceability of enterprise data assets.
  • Platform & Cloud Enablement: Work with cloud-based data platforms (AWS, Azure, GCP) and modern data stacks. Optimize data storage, performance, and cost across data lakes, warehouses, and lake houses. Partner with DevOps teams to implement CI/CD for data pipelines and quality checks.
  • Stakeholder Collaboration: Work closely with business analysts, data scientists, and product teams to translate requirements into data solutions. Provide data quality insights and recommendations to improve downstream analytics and decision-making. Support incident analysis and root-cause investigation for data-related issues.

Required Qualifications:

  • Hands-on expertise with DataEQ Informatica Data Quality (IDQ) or similar data quality platforms.
  • Proficiency in SQL and at least one programming language (Python preferred).
  • Experience with ETL/ELT tools and orchestration frameworks (Airflow, Informatica, dbt, etc.).
  • Strong understanding of data quality dimensions (accuracy, completeness, timeliness, consistency).
  • Experience with data lakes and data warehouses (Snowflake, BigQuery, Redshift, Synapse, etc.).
  • Familiarity with cloud services (AWS, Azure, GCP).
  • Knowledge of metadata, lineage, and data governance concepts.

Compensation & Location

Salary: $100,000 – $140,000 per year (Estimated)

Location: Austin, TX

Recruiter / Company – Contact Information

Email: gurnavstaffing@gmail.com

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