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MSD Lead Data Engineer 
India, Maharashtra 
627723666

05.01.2025

Job Description

Key Responsibilities:

  • Lead the design, development, and implementation of data pipelines and ETL workflows using Matillion and Databricks.
  • Architect and implement data solutions in AWS, including but not limited to Amazon S3, AWS Glue, Amazon Redshift, and Amazon RDS.
  • Manage and optimize workflow orchestration using Apache Airflow to ensure reliable data processing and job scheduling.
  • Collaborate with cross-functional teams to gather requirements and translate them into scalable data architecture and process designs.
  • Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous improvement and innovation.
  • Ensure data quality and integrity by implementing best practices in data governance and validation.
  • Monitor performance, troubleshoot issues, and optimize data systems for efficiency and scalability.
  • Stay abreast of industry trends and emerging technologies to ensure continuous improvement of the data engineering practices.

Qualifications:

  • Bachelor’s degree in Computer Science or related Engineering, or a related field.
  • 10+ years of experience in data engineering or related roles, with a proven track record of leading technical teams.
  • Extensive experience with AWS services, particularly in data storage, data processing, and database management.
  • Hands-on experience with Matillion for ETL processes and data integration.
  • Proficient in using Databricks for data analysis and processing with Apache Spark.
  • Strong knowledge of Apache Airflow for workflow orchestration and scheduling.
  • Experience with SQL and data modeling principles; familiarity with NoSQL databases is a plus.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
  • Strong communication skills to effectively interact with technical and non-technical stakeholders.

Preferred Skills:

  • Experience with Python, Pyspark, and SQL for data processing and scripting.
  • Experience in AWS services,Databricks,Airflow & Matillion
  • Familiarity with data visualization tools such as Power BI.
  • Knowledge of machine learning practices and frameworks.

Current Contingent Workers apply




Preferred Skills:

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