Senior Data Engineer - Britech Group, Inc

As a Senior Data Engineer, your role is pivotal in harnessing data and technology to propel our organization's business growth, enhance customer engagement, and support data-centric decision-making. You will be instrumental in developing, managing, and enhancing data pipelines and deploying machine learning models for predictive analytics that serve a broad range of data consumers, including business and data analysts, data scientists, and other stakeholders requiring refined data for diverse enterprise analytics applications.

Key Responsibilities:

• Architect, construct, and sustain our data infrastructure utilizing tools such as Snowflake, Azure, and Databricks.
• Design, implement, and oversee ELT/ETL processes using Python, SQL, and Spark to maintain data precision, completeness, and uniformity.
• Develop and maintain machine learning models for applications like predictive analytics, recommendation engines, and anomaly detection.
• Work collaboratively with various teams to interpret business needs and devise data-driven solutions.
• Adhere to data privacy standards and implement industry best practices.
• Manage and optimize DevOps strategies to automate the deployment and testing of data workflows.
• Keep abreast of emerging data technologies and methodologies, advocating for their adoption where beneficial.
• Operate within an Agile framework to ensure timely, budget-conscious delivery of high-caliber solutions.

Technical Competencies:

• Proficient in constructing data pipelines using Snowflake.
• Familiar with the MarTech landscape.
• Capable of handling complex data sets from diverse sources.
• Proficient in scripting languages such as Python and R.
• Experienced in developing and deploying machine learning models with TensorFlow, PyTorch, or scikit-learn.
• Well-versed in DevOps practices, cloud-native platforms (e.g., Kubernetes, serverless technologies), and infrastructure as code (IaC) tools like Terraform.
• Strong communication skills, both written and verbal.
• Driven, self-motivated, and committed to achieving results.

Education and Experience Requirements:

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
• At least eight years of relevant professional experience.
• Minimum of five years' experience working with cloud platforms, Snowflake, Azure, and data visualization tools.
• Proficiency in data integration tools like Spark/Databricks and Linux/Unix shell scripting.