Lead Data Engineer

As a Lead Data Engineer at Rearc, you will play a crucial role in establishing and maintaining technical excellence within our data engineering team. Your extensive experience in data architecture, ETL processes, and data modeling will be key in optimizing data workflows for efficiency, scalability, and reliability. Collaborating closely with cross-functional teams, you will design and implement robust data solutions that align with business objectives and adhere to best practices in data management. Building strong partnerships with technical teams and stakeholders is essential as you drive data-driven initiatives and ensure their successful implementation. With over 10 years of experience in data engineering or related fields, you bring a wealth of expertise in managing and optimizing data pipelines and architectures. Your proficiency in Java and/or Python, along with experience in data pipeline orchestration using platforms like Airflow, Databricks, DBT, or AWS Glue, will be invaluable. Hands-on experience with data analysis tools and libraries such as Pyspark, NumPy, Pandas, or Dask is required, while proficiency with Spark and Databricks is highly desirable. Your proven track record of leading complex data engineering projects, coupled with hands-on experience in ETL processes, data warehousing, and data modeling tools, enables you to deliver efficient and robust data pipelines. You possess in-depth knowledge of data integration tools and best practices, as well as a strong understanding of cloud-based data services and technologies like AWS Redshift, Azure Synapse Analytics, and Google BigQuery. Your strategic and analytical skills will enable you to solve intricate data challenges and drive data-driven decision-making. In this role, you will collaborate with stakeholders to understand data requirements and challenges, implement data solutions with a DataOps mindset using modern tools and frameworks, lead data engineering projects, mentor junior team members, and promote knowledge sharing through technical blogs and articles. Your exceptional communication and interpersonal skills will facilitate collaboration with cross-functional teams and effective stakeholder engagement at all levels. At Rearc, we empower engineers to build innovative products and experiences by providing them with the best tools possible. If you are a cloud professional with a passion for problem-solving and a desire to make a difference, join us in our mission to solve problems and drive innovation in the field of data engineering.,