Data Engineering Team Lead
4 weeks ago
About the Role:
We are seeking a highly skilled Technical Lead - Data Engineer to spearhead the design, development, and implementation of data solutions that empower our organization to derive actionable insights from intricate datasets. As a Technical Lead, you will take the lead in guiding a team of data engineers, fostering collaboration with cross-functional teams, and spearheading initiatives geared towards fortifying our data infrastructure, CI/CD pipelines, and analytics capabilities.
Key Responsibilities:
* Apply advanced knowledge of Data Engineering principles, methodologies, and techniques to design and implement data loading and aggregation frameworks across broad areas of the organization.
* Gather and process raw, structured, semi-structured, and unstructured data using batch and real-time data processing frameworks.
* Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
* Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product/engineering/business.
* Experience building enterprise systems especially using Databricks, Snowflake, and platforms like Azure, AWS, GCP, etc.
* Leverage strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis.
* Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions.
* Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance.
* Drive continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure.
* Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions.
* Implement best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets.
Requirements:
* Bachelor's or master's degree in computer science, engineering, or a related field.
* Proven experience (9+) in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses.
* Must have Lead experience - previous experience leading at least 1 project end to end.
* Strong proficiency in SQL, Python, and Spark programming languages.
* Strong experience with cloud platforms such as AWS, Azure, or GCP is a must.
* Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
* Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow, etc.
* Experience in implementing CI/CD pipelines for automating build, test, and deployment processes.
* Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices.
* Excellent communication and leadership skills, with the ability to effectively collaborate with cross-functional teams and drive consensus on technical decisions.
* Relevant certifications (e.g., Azure, Databricks, Snowflake) would be a plus.
About The Select Group:
The Select Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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