Compunnel
We are seeking a Senior Data Engineer to join a multidisciplinary team focused on building scalable data platforms and solutions that enhance customer experience and drive business growth.
This role involves designing and optimizing data pipelines, mentoring junior engineers, and collaborating across teams to deliver high-quality, data-driven products.
Key Responsibilities:
Lead the design, architecture, and implementation of scalable data initiatives and platform capabilities.
Optimize existing data workflows for performance and cost-efficiency, and guide teams in implementing innovative solutions.
Mentor junior data engineers and provide technical leadership on best practices and project execution.
Collaborate with cross-functional teams including product managers, analysts, and architects to define requirements and deliver solutions.
Translate business needs into technical specifications and communicate effectively with both technical and non-technical stakeholders.
Stay current with data engineering trends and recommend tools and technologies to improve team capabilities.
Contribute to the development of data engineering standards, documentation, and processes to ensure consistency and maintainability.
Required Qualifications:
Bachelors degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Minimum 6 years of experience in data engineering, including at least 2 years in data modeling. Strong proficiency in SQL, Python, and PySpark. Experience with cloud platforms such as AWS or Azure. Deep understanding of data engineering fundamentals including ETL processes, data lakes, data warehousing, and batch/streaming technologies. Experience with orchestration tools (e.g., Airflow), processing frameworks (e.g., Spark, Databricks), and visualization tools (e.g., Tableau, Power BI). Proven leadership experience in guiding engineering teams and fostering collaboration. Preferred Qualifications:
Experience with the Databricks platform. Familiarity with Customer Data Platforms (CDPs) such as HighTouch. Email ID * This field is required Please enter valid emailId.
Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name. #J-18808-Ljbffr
Bachelors degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Minimum 6 years of experience in data engineering, including at least 2 years in data modeling. Strong proficiency in SQL, Python, and PySpark. Experience with cloud platforms such as AWS or Azure. Deep understanding of data engineering fundamentals including ETL processes, data lakes, data warehousing, and batch/streaming technologies. Experience with orchestration tools (e.g., Airflow), processing frameworks (e.g., Spark, Databricks), and visualization tools (e.g., Tableau, Power BI). Proven leadership experience in guiding engineering teams and fostering collaboration. Preferred Qualifications:
Experience with the Databricks platform. Familiarity with Customer Data Platforms (CDPs) such as HighTouch. Email ID * This field is required Please enter valid emailId.
Cell phone * This field is required Please enter valid cell phone. First Name * This field is required Please enter valid first name. Last Name * This field is required Please enter valid last name. #J-18808-Ljbffr