Lead Data Engineer

6 days ago

Islamabad, Islamabad, Pakistan Stixor Full time

3 days ago Be among the first 25 applicants

Experience: 4+ years of experience

About the Role

The Lead Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and architecture. You'll lead a team of engineers and work with cross-functional stakeholders to ensure data reliability, scalability, and availability. You will play a key role in shaping our data engineering practices, implementing modern data technologies, and mentoring the next generation of data engineers.

Key Responsibilities

  • Design and implement scalable, efficient, and secure data architectures and pipelines.
  • Define data lake, data warehouse, and real-time streaming architecture based on business needs.
  • Build and maintain batch and streaming data pipelines using tools like Apache Spark, Kafka, Airflow, and dbt.
  • Ensure data ingestion, transformation, and loading (ETL/ELT) processes are performant and reliable.

Leadership:

  • Lead and mentor a team of data engineers, promoting engineering excellence and collaboration.
  • Define coding standards, conduct code reviews, and guide technical decision-making.
  • Work closely with Data Scientists, Analysts, Product Managers, and DevOps teams to deliver data-driven products.
  • Support data governance, security, and compliance initiatives in partnership with IT and Security teams.

Monitoring & Optimization:

  • Monitor performance and reliability of data pipelines and troubleshoot issues proactively.
  • Continuously optimize infrastructure and query performance for scalability and cost-efficiency.

Required Skills and Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 4+ years of data engineering experience with at least 2 years in a technical leadership role.
  • Expertise in SQL and at least one modern programming language (e.g., Python, Scala, Java).
  • Deep knowledge of modern data stack: Spark, Kafka, Airflow, dbt, with hands-on experience in at least one cloud data warehouse such as Snowflake, BigQuery, or Redshift.
  • Strong experience with cloud platforms (AWS/GCP/Azure), data storage solutions, and containerization (Docker/Kubernetes).
  • Proven ability to build scalable, reliable, and maintainable data systems.
  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Experience with infrastructure-as-code (Terraform, CloudFormation).
  • Familiarity with MLOps and supporting machine learning workflows.
  • Experience with CI/CD pipelines and data version control.
  • Knowledge of data privacy and compliance standards (PECA), including secure data handling, consent protocols, and protection of personal and sensitive information.
  • Contribution to open-source projects or technical blogs is a plus.
  • Generous Leave Policies: Paid time off, sick leaves, and parental leave.
  • Performance Bonuses: Rewards for achieving personal and team milestones.
  • Remote Work Options: Flexible arrangements to work from home when needed.
  • Medical Insurance: Health Insurance and Life Insurance benefits.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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