Qureos

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Senior Data Engineer

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We are seeking an experienced and highly skilled Senior Data Engineer to join our team in an on-site role. This position is ideal for a technically strong professional who excels at building scalable data systems, optimizing data pipelines, and ensuring data quality and performance across the organization.

You will play a critical role in shaping our data infrastructure and supporting data-driven decision-making.

Key Responsibilities

In this role, you will be responsible for:

  • Designing, building, and maintaining scalable and reliable data pipelines
  • Developing and managing data warehouses, data lakes, and ETL/ELT workflows
  • Ensuring data quality, integrity, availability, and security
  • Optimizing data performance, scalability, and cost efficiency
  • Collaborating with data scientists, analysts, and engineering teams
  • Supporting analytics, reporting, and machine learning initiatives
  • Implementing best practices for data modeling, governance, and documentation
  • Monitoring data workflows and troubleshooting performance issues
  • Managing data integrations from multiple internal and external sources
  • Contributing to data architecture decisions and long-term strategy
  • Mentoring junior data engineers and providing technical guidance

Required Skills & Experience

To be successful in this role, you must have:

  • Proven experience as a Senior Data Engineer or in a similar role
  • Strong proficiency in SQL and advanced data modeling techniques
  • Hands-on experience with data warehouses and big data technologies
  • Experience designing and optimizing ETL/ELT pipelines
  • Strong programming skills in Python, Java, or Scala
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Solid understanding of data architecture, performance tuning, and scalability
  • Experience working with large, complex datasets in production environments
  • Strong analytical and problem-solving skills

Nice to Have:

  • Experience with tools such as Airflow, dbt, Spark, Kafka, Snowflake, or Databricks
  • Knowledge of data governance, security, and compliance standards
  • Experience with CI/CD pipelines for data workflows
  • Familiarity with BI tools or machine learning pipelines

What We’re Looking For

You are:

  • Comfortable working in an on-site, collaborative environment
  • Detail-oriented with a strong focus on data accuracy and reliability
  • Strategic in approach while remaining hands-on
  • Able to take ownership of complex data initiatives
  • A collaborative team player and technical mentor
  • Adaptable in a fast-paced and evolving data environment

What We Offer

  • Full-time on-site position
  • Competitive salary based on experience
  • Comprehensive benefits package
  • Opportunity to work on large-scale, enterprise data platforms
  • Supportive and collaborative work culture
  • Career growth and leadership opportunities

Apply Today

If you have strong experience in data engineering and are passionate about building scalable data systems, we encourage you to apply.

Please include details of your relevant experience, key projects, or technical expertise with your application.

Job Type: Full-time

Pay: ₹80,000.00 - ₹110,000.00 per month

Benefits:

  • Health insurance
  • Life insurance
  • Provident Fund

Work Location: In person

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