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Lumiq- Data Engineer new

Posted 2 Days Ago
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In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Mid level
In-Office
Noida, Gautam Buddha Nagar, Uttar Pradesh, IND
Mid level
Design, develop, and maintain scalable ETL/ELT data pipelines and architectures for analytics. Ensure data quality, integration, security, and performance. Collaborate with analysts and cross-functional teams, monitor production pipelines, troubleshoot issues, and implement data engineering best practices and documentation.
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Company: LUMIQLocation: NoidaExperience Required: 3–5 YearsAbout LUMIQ

LUMIQ is a leading data analytics and AI-driven solutions company helping enterprises unlock the power of data through modern cloud, analytics, and engineering solutions. We work with cutting-edge technologies to deliver scalable and business-focused digital transformation solutions.

Position: Data Engineer

LUMIQ is looking for a skilled and motivated Data Engineer with 3–5 years of experience to join our growing team in Noida. The ideal candidate should have strong expertise in data pipelines, ETL processes, cloud platforms, and big data technologies.

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build and optimize data architectures for analytics and reporting.
  • Work closely with data analysts, business teams, and developers to understand data requirements.
  • Develop and maintain data integration workflows using modern tools and frameworks.
  • Ensure data quality, integrity, and security across systems.
  • Monitor and troubleshoot production data pipelines.
  • Optimize database performance and query execution.
  • Collaborate with cross-functional teams in agile development environments.
  • Implement best practices for data engineering, governance, and documentation.
Required Skills
  • Strong experience in SQL and Python.
  • Hands-on experience with ETL/ELT tools and data pipeline development.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Good understanding of data warehousing concepts.
  • Experience with big data technologies like Spark, Hadoop, or Databricks.
  • Knowledge of workflow orchestration tools such as Airflow.
  • Familiarity with REST APIs and data integration techniques.
  • Understanding of CI/CD and version control tools like Git.
  • Strong analytical and problem-solving skills.

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