Data Engineer

3 days ago

Hyderabad, Telangana, India Lakkshions It Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Position: Data Engineer Analytics & Reporting Pipelines

Experience Required: 5-8 years

Location: Manjeera Trinity, Hyderabad

Timings: 5:30 PM 2:30 AM (US Shift Timings)

Employment Type: Full-Time

About the Role

We are seeking a Data Engineer to design, build, and optimize data pipelines and reporting modules for a next-generation AI-driven enterprise platform. The ideal candidate will have hands-on experience in ETL development, analytics, and secure data integrations, with expertise in Power BI and exposure to no-code/low-code tools for building lightweight reporting interfaces.

Key Responsibilities

  • Design, build, and maintain ETL pipelines for structured and unstructured data.
  • Develop data models and semantic layers to support analytics and reporting needs.
  • Integrate data securely across multiple systems (HR, payroll, finance, benefits, and external APIs).
  • Build and optimize real-time and batch pipelines for analytics workloads.
  • Collaborate with business stakeholders to design Power BI dashboards and ensure self-service reporting.
  • Leverage no-code/low-code tools to create front-end reporting or workflow automation modules.
  • Implement data quality, validation, and governance processes.
  • Ensure compliance, security, and access control for sensitive enterprise data.
  • Work closely with backend and AI teams to make data AI-ready for predictive insights.

Required Skills & Qualifications

  • 5–8 years of experience in Data Engineering / ETL / Analytics.
  • Strong expertise in ETL pipeline design & optimization (SQL, Python, or Spark).
  • Experience with data integration tools (Informatica, Talend, Azure Data Factory, or similar).
  • Hands-on experience in Power BI (reporting, DAX, Power Query, semantic modeling).
  • Knowledge of databases (SQL, NoSQL, Graph – Neo4j a plus).
  • Experience in building secure API-based integrations between enterprise systems.
  • Exposure to event-driven data pipelines (Kafka preferred).
  • Familiarity with cloud platforms (Azure preferred) and data storage services (Data Lake, Blob, Synapse).
  • Strong skills in data governance, quality, and compliance.
  • Good communication and stakeholder collaboration skills.

Nice to Have

  • Exposure to low-code/no-code platforms (Power Apps, AppSheet, or Bubble).
  • Knowledge of machine learning data pipelines.
  • Experience with modern data orchestration tools (Temporal, Airflow, DBT).
  • Familiarity with Agile/Scrum delivery models.

Education

Bachelor's/Master's in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).

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