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Senior Data Engineer

3 months ago

Erode, India USEReady Full time

Designation: Lead Data Engineer

Location: Bangalore/Mohali/Gurugram

Experience: 10-14 years


Job Description

  • Mentor a team of developers in building and maintaining high-quality, scalable, and secure data pipelines and analytics applications on the Databricks platform
  • Work closely with data engineers, business stakeholders to understand their needs and design and develop solutions that meet those needs
  • Design, develop, and test data pipelines and analytics applications using Databricks and other relevant technologies
  • Responsibilities:
  • Technical Leadership:
  • Lead and mentor a team of data engineers, providing guidance and support on technical aspects and best practices.
  • Define and implement the data architecture for the organization, ensuring scalability, performance, and security.
  • Evaluate and adopt new technologies and tools within the Databricks ecosystem.
  • Data Pipeline Development:
  • Design and develop complex data pipelines for ingesting, processing, and transforming large datasets.
  • Ensure data quality and consistency throughout the data pipeline.
  • Optimize data pipelines for performance and resource efficiency.
  • Collaboration and Communication:
  • Collaborate with cross-functional teams (business stakeholders, downstream user teams) to understand data needs and translate them into technical implementation.
  • Communicate effectively with stakeholders about data architecture, pipeline design, and operational challenges.
  • Document data pipelines and procedures for maintainability and knowledge sharing.
  • Problem-Solving and Innovation:
  • Identify and troubleshoot issues within the data pipelines and infrastructure.
  • Proactively propose improvements and optimizations to the data platform.
  • Stay up-to-date on the latest trends and advancements in big data technologies.

Qualifications

  • 8 + years of experience as a data engineer, with at least 2 years in a lead role.
  • Proven experience working with the Databricks platform.
  • Strong knowledge of big data technologies and frameworks (Spark, Kafka, etc.).
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  • Proficiency in programming languages like Python, Scala, or Java.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a team


Mandatory Skills


Data Lake, Data Pipeline, spark, data warehousing, Databricks certifications.