Senior Data Engineer

Responsibilities

• Architect and implement reliable data pipelines, schemas, and ingestion frameworks to enable advanced analytics and machine learning initiatives.
• Design and maintain scalable data infrastructure across cloud platforms such as Azure, AWS, or GCP.
• Integrate SAP data sources into enterprise data platforms to support reporting and analytics.
• Ensure data integrity, reliability, and performance across multiple systems and applications.
• Lead efforts to minimize data redundancy and establish a single source of truth through thoughtful data modeling and integration.
• Serve as technical lead on cross functional data projects, guiding design decisions and aligning with business goals.
• Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
• Oversee database upgrades, migrations, and performance tuning activities.
• Develop and enforce standards for data governance, security, and lifecycle management.
• Mentor junior data engineers and analysts, sharing best practices and supporting technical growth.
• Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
• Create and deliver training materials and documentation to support team development and knowledge sharing.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 6-8+ years of experience in data engineering, database administration, or related roles.
• Advanced proficiency in SQL and programming languages such as Python or R.
• Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB).
• Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (e.g., Snowflake, Databricks).
• Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC).
• Proven ability to lead technical projects and mentor team members.

Technologies

• SQL
• Python
• R
• Oracle
• SQL Server
• MongoDB
• Azure
• AWS
• GCP
• Snowflake
• Databricks
• SAP HANA
• SAP BW
• SAP ECC

Benefits

• Dental insurance
• Health insurance
• Vision insurance

Pay

• USD 70.00 - 75.00 per hour

Qualifications

• Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• Required: 6-8+ years of experience in data engineering, database administration, or related roles.
• Required: Advanced proficiency in SQL and programming languages such as Python or R.
• Required: Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB).
• Required: Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (e.g., Snowflake, Databricks).
• Required: Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC).
• Required: Proven ability to lead technical projects and mentor team members.
• Preferred: Experience in the utility industry or similar regulated environments.
• Preferred: Familiarity with big data technologies and distributed computing frameworks.
• Preferred: Knowledge of data governance, compliance, and audit practices.

Team Environment

• Collaborate with IT architects, developers, and strategic planners.
• Engage with business stakeholders and project managers.
• Coordinate with contractors, consultants, and vendors supporting utility operations.

Core Values

• Champion innovation and continuous improvement.
• Drive operational excellence and customer value.
• Uphold safety, integrity, and strategic thinking.

Soft Skills

• Strategic thinker with strong problem solving abilities.
• Excellent communication and leadership skills.
• Ability to manage multiple priorities and deliver results in a fast paced environment.