Data Engineer

3 weeks ago

Lahore, Punjab, Pakistan DOT LABS Full time
Job Title: Senior Data Engineer

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At Dot Labs, we are seeking a talented Senior Data Engineer to join our growing team.

Forward your resume to: careers@dotlabs.ai

Location: DHA Phase 2

Timing: 10:00 AM - 7:00 PM (Onsite)

Job Description

As a Senior Data Engineer, you will collaborate closely with data scientists, analysts, and other IT professionals to build scalable data pipelines and ensure the integrity of our data ecosystem. You will lead data governance initiatives and oversee the implementation of best practices, ensuring high availability and performance of data systems.

This role offers a unique opportunity to shape the future of our data landscape, drive innovation, and utilize cutting-edge technologies. If you are passionate about transforming data into insights and have leadership experience, we invite you to apply and become an integral part of our organization.

Responsibilities
  1. Lead the design, development, and implementation of scalable data architectures and frameworks.
  2. Develop and maintain ETL processes for efficient data integration and migration.
  3. Oversee data quality and governance initiatives to ensure accurate and reliable data availability.
  4. Collaborate with cross-functional teams to understand data needs and translate them into technical specifications.
  5. Evaluate and implement new data technologies and tools to enhance processing capabilities.
  6. Mentor and guide junior data engineering team members.
  7. Monitor and optimize performance of data systems for high availability and resource efficiency.
Requirements
  1. Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  2. At least 3 years of experience in data engineering or related roles, with proven data solution design skills.
  3. Proficiency in programming languages such as Python, Java, or Scala, and expertise in SQL.
  4. Experience with big data technologies like Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, or Google Cloud.
  5. Strong understanding of data modeling, mining, and warehousing techniques.
  6. Excellent problem-solving skills for complex data challenges.
  7. Strong communication and leadership skills, including team mentoring and management experience.
Additional Information
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Industries: IT Services and IT Consulting

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