Senior Data Engineer Lead

4 weeks ago


Bengaluru, Karnataka, India Resource Quick Full time

About Resource Quick:

We are a dynamic company seeking an exceptional Senior Data Engineer Lead to spearhead our data engineering and analytics initiatives. This is a unique opportunity to join our team as a highly skilled Python developer, leveraging expertise in designing, developing, and deploying robust and scalable data solutions on AWS.

Estimated Salary: $140,000 - $170,000 per year

Key Responsibilities:

  • Data Engineering:
    • Develop, test, and deploy efficient data pipelines using Python and PySpark.
    • Design and implement ETL processes to extract, transform, and load data from various sources.
    • Optimize data pipelines for performance and scalability.
  • Cloud Architecture:
    • Design and implement cloud-native solutions on AWS, leveraging services like EC2, Lambda, S3, RDS, Redshift, and Glue.
    • Ensure the security, reliability, and cost-effectiveness of cloud infrastructure.
  • Data Management and Transformation:
    • Manage and transform large datasets, supporting data ingestion and migration through well-defined pipelines.
    • Utilize SQL Server and stored procedures for data management and transformation.
  • ETL and Orchestration:
    • Develop, deploy, and manage scalable ETL and orchestration solutions to automate data processing tasks.
  • Team Leadership:
    • Mentor and guide junior team members.
    • Collaborate with cross-functional teams to deliver high-quality solutions.

Required Skills and Experience:

  • Strong proficiency in Python and PySpark.
  • In-depth knowledge of AWS services (EC2, Lambda, S3, RDS, Redshift, Glue).
  • Experience with data warehousing and data lake concepts.
  • Solid understanding of SQL and database technologies.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Experience with data visualization tools (i.e., Tableau, Power BI) is a plus.


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