Data Engineering Lead with Expertise in Cloud Data Platforms

3 weeks ago


Pune, Maharashtra, India eClerx Full time
Job Overview

eClerx is seeking a highly skilled and experienced Data Engineering Lead to join our team. The ideal candidate will have a strong background in designing and implementing data infrastructure, data pipelines, and data lakes.

About the Role

We are looking for a talented individual to lead our data engineering efforts. As a Data Engineering Lead, you will be responsible for overseeing the development and maintenance of our data infrastructure, ensuring its reliability, scalability, and performance.

Key Responsibilities
  • Lead a team of data engineers, providing technical guidance and mentorship to ensure the successful execution of data engineering projects.
  • Collaborate with stakeholders to understand business requirements and translate them into scalable data solutions.
  • Design, implement, and maintain robust data infrastructure, including data lakes, data pipelines, and ETL processes.
  • Leverage Snowflake for cloud data warehousing solutions, optimizing data storage, querying, and processing for large-scale datasets.
  • Optimize data pipelines and workflows to improve efficiency and reduce processing time.
  • Stay up-to-date with the latest trends and advancements in data engineering, analytics, and cloud technologies.
  • Conduct performance evaluations, provide feedback, and foster a culture of continuous learning and professional development within the data engineering team.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • 15+ years of experience in data engineering, with 9+ years of proven experience in designing and implementing data infrastructure.
  • Solid understanding of the software development life cycle and/or agile development environments.
  • Strong expertise in programming languages such as Python, Java, or Scala, and proficiency with SQL.
  • Experience with big data technologies such as Hadoop, Spark, Kafka, and Databricks.
  • Proficiency in working with cloud-based data platforms (e.g., AWS, GCP, or Azure) and related services.
What We Offer

We offer a competitive salary range of $180,000 - $220,000 per year, depending on experience, plus benefits and opportunities for career growth.



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