(Remote w/5% travel) Sr Technology Engineer -AWS Data Lake & Analytics

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Job Overview

The Senior Technology Engineer - AWS Data Lake & Analytics at PSEG will be responsible for the design, implementation, and maintenance of AWS-based data lake solutions, enabling advanced analytics capabilities to support business goals. This role involves collaborating with cross-functional teams to deliver scalable and efficient data solutions, ensuring data integrity and security, and leveraging analytics for business insights. Additionally, the engineer will contribute to strategy development for cloud data architecture and play a pivotal role in enhancing the organization’s overall data ecosystem, while also traveling minimally for organizational meetings and events as needed.

Job Responsibilities

• Design, implement, and manage AWS data lake solutions, ensuring efficient storage and retrieval of data.
• Collaborate with data scientists and analysts to develop and deploy data analytics tools and technologies.
• Ensure data quality, integrity, and security across all data platforms.
• Work closely with cross-functional teams to gather business requirements and translate them into technical specifications.
• Conduct performance tuning, troubleshooting, and optimization of data lake and analytics services on AWS.
• Manage data ingestion processes from various sources into the data lake.
• Provide thought leadership on AWS cloud services and advocate for best practices in data management.
• Participate in capacity planning and resource allocation for data services.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• Minimum of 5 years of experience in data engineering, analytics, or cloud computing, with a focus on AWS technologies.
• Extensive knowledge of AWS services, including S3, Glue, Athena, Redshift, and EMR.
• Strong programming skills in Python, SQL, or similar languages for data manipulation and analysis.
• Experience with data modeling, ETL processes, and designing data pipelines.
• Understanding of data lake architecture and best practices for big data processing.
• Excellent problem-solving skills and ability to work in a team-oriented environment.
• Strong communication skills, capable of articulating complex technical concepts to non-technical stakeholders.

Technologies & Tools

The Senior Technology Engineer will utilize a range of technologies and tools to accomplish their duties, including but not limited to AWS services like S3, Glue, Redshift, and EMR, as well as data processing frameworks like Apache Spark. Familiarity with BI tools (e.g., Tableau, Power BI), programming languages for data integration (Python, SQL), and workflow orchestration tools (e.g., Apache Airflow) is essential for executing data strategies and analytics tasks.

Ideal Candidates

Ideal candidates for the Senior Technology Engineer - AWS Data Lake & Analytics role will possess a strong analytical mindset, with a passion for leveraging data to drive business improvements. They should demonstrate resilience in problem-solving, an eagerness to remain updated with the latest industry trends, and the ability to thrive in a fast-paced environment. Strong interpersonal skills and a collaborative nature are essential to effectively communicate with diverse teams and stakeholders. Candidates should also exhibit a proactive approach to learning and professional growth, ensuring that PSEG maintains a competitive edge in the data analytics field.