Job Summary
We are seeking a highly skilled and experienced Data Engineer to join our dynamic team. In this role, you will be instrumental in designing, developing, and maintaining scalable and robust data pipelines and infrastructure. You will lead a team of data engineers, mentor junior members, and collaborate with cross-functional teams to deliver high-quality data solutions that drive business insights and decision-making.
Key Responsibilities
• Design, build, and optimize complex ETL/ELT pipelines for large-scale data processing.
• Develop and maintain data models and schemas for various data sources.
• Implement and manage data warehousing solutions, ensuring data integrity and accessibility.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Lead and mentor a team of data engineers, providing technical guidance and fostering a collaborative environment.
• Ensure the performance, scalability, and reliability of data infrastructure.
• Implement data governance policies and best practices.
• Troubleshoot and resolve data-related issues and optimize data processing performance.
• Stay up-to-date with emerging technologies and industry trends in data engineering.
• Contribute to the development and implementation of data strategy.
Required Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.
• 5+ years of experience in data engineering, with a strong focus on building and managing data pipelines.
• Proven experience with SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
• Expertise in at least one major cloud platform (AWS, Azure, GCP) and its data services (e.g., S3, Redshift, Snowflake, BigQuery, Data Factory, Glue).
• Strong programming skills in Python or Scala.
• Experience with big data technologies such as Spark, Hadoop, or Kafka.
• Solid understanding of data warehousing concepts and dimensional modeling.
• Experience with data pipeline orchestration tools (e.g., Airflow, Luigi).
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
• Experience leading or mentoring junior engineers.
• 10 + Years of exp in Data Engineering
• 5 + Years of Exp in Python
• 4+ Years of exp in GCP/Azure
• 4+ Years of exp in Informatica IICS
Notes
Mandatory Areas
Must Have Skills - Data Engineer
Skill 1 - 10 + Years of exp in Data Engineering
Skill 2 - 5 + Years of Exp in Python
Skill 3- 4+ Years of exp in GCP/Azure
Skill 4 - 4+ Years of exp in Informatica IICS
Good To have Skills -
Skill 1 - Yrs of Exp -N/A
Skill 2 - Yrs of Exp -N/A
Skill 3 - Yrs of Exp -N/A
Skill 4 - Yrs of Exp -N/A
Mandatory if Applicable
Domain Experience (If any ) - N/A
Must have Certifications -N/A
Prior experience - Y / N
Location - Issaquah, WA
Onsite Requirement - Y/N- Y
Number of days onsite - 3 Days
If Onsite - Office Address -
