Data Engineer

7 hours ago


Noida, Uttar Pradesh, India ShyftLabs Full time ₹ 4,00,000 - ₹ 6,00,000 per year
About ShyftLabs ShyftLabs is a fast-growing data product company founded in early 2020, working primarily with Fortune 500 clients. We design and deliver cutting-edge digital and data-driven solutions that help businesses accelerate growth, improve decision-making, and create measurable value through innovation.
Position Overview We're looking for an experienced Data Engineer who's passionate about building scalable, high-performance data solutions. In this role, you'll collaborate with cross-functional teams-including Data Engineers, Analysts, and Product Managers-to design, implement, and maintain robust data pipelines and systems that power our clients' most critical business decisions.
Key Responsibilities
  • Design, develop, and maintain data pipelines and ETL/ELT processes using Python.
  • Build and optimize scalable, high-performance data applications.
  • Collaborate with cross-functional teams to define requirements and deliver reliable solutions.
  • Develop and manage real-time streaming pipelines using Pub/Sub or Apache Beam.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.
  • Monitor, troubleshoot, and optimize production data systems for reliability and performance.
Key Qualifications
  • 5+ years of professional experience in software or data engineering using Python.
  • Strong understanding of software engineering best practices (testing, version control, CI/CD).
  • Proven experience building and optimizing ETL/ELT pipelines and data workflows.
  • Proficiency in SQL and database concepts.
  • Experience with data processing frameworks (e.g., Pandas).
  • Understanding of software design patterns and scalable architecture principles.
  • Experience with cloud platforms (GCP preferred).
  • Knowledge of CI/CD pipelines and Infrastructure as Code tools.
  • Familiarity with containerization (Docker, Kubernetes).
  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
  • Experience with GCP services such as Cloud Run and Dataflow.
  • Experience with stream processing technologies (e.g., Pub/Sub).
  • Familiarity with workflow orchestration tools (e.g., Airflow).
  • Exposure to data visualization tools or libraries.
  • Knowledge of GitLab CI/CD and Terraform.
  • Experience with Snowflake, BigQuery, or Databricks.
  • GCP Data Engineer Certification is a plus.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
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