Sr Data Engineer - Remote

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Written by AI from the job title and company, not by NiSource, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Senior Data Engineer at NiSource, you will be pivotal in designing, constructing, and maintaining innovative data architecture and pipelines. In this remote position, you will collaborate with cross-functional teams to enhance data quality and accessibility, facilitating data-driven decision-making processes across the organization. Your expertise will play a crucial role in the integration of data from various sources, enabling robust analytics and ensuring the scalability of data solutions.

Job Responsibilities

• Design and implement scalable data architectures for data ingestion, processing, and storage.
• Develop and maintain data pipelines to automate data workflows and improve efficiency.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and provide appropriate solutions.
• Ensure data quality and integrity through testing and validation of datasets.
• Monitor system performance and troubleshoot issues related to data processing and access.
• Document technical specifications and design choices for data solutions.
• Stay updated with industry trends and advancements in data engineering and analytics.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proficient in programming languages such as Python, Java, or Scala.
• Strong experience with data modeling, ETL processes, and data warehousing solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
• Experience with SQL and NoSQL database technologies.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka is a plus.
• Strong analytical skills and a problem-solving mindset.

Technologies & Tools

The Senior Data Engineer will utilize a variety of technologies and tools, including cloud computing services such as Amazon Web Services (AWS) or Microsoft Azure, along with data processing frameworks like Apache Spark and workflow orchestration tools. Proficiency in databases (both SQL and NoSQL), business intelligence tools, and data pipeline technologies will be essential for successfully executing responsibilities in this role.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position at NiSource will be proactive, innovative, and detail-oriented professionals who thrive in a collaborative environment. They should possess strong communication skills to effectively articulate technical concepts to non-technical stakeholders. A continuous improvement mindset, coupled with a passion for leveraging data to drive business insights, will be vital for success in this role.