Position Details

Type Full-Time

Experience mid

Exp. Years 2-4 years

Education Bachelor's degree or 6 years of experience in data engineering/data modeling

Category Data & Analytics

About this role

A data engineering role focused on designing and maintaining data architectures to support analytics and decision-making in the energy sector.

Key Responsibilities

Design data architectures
Maintain data processing pipelines
Ensure data quality and governance
Develop analytics dashboards
Collaborate with analysts

Technical Overview

Involves data management, modeling, and processing using SQL, Python, Power BI, Hadoop, and Spark to handle large datasets from multiple sources.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 2+ years of experience in data management, modeling, and analytics tools like Power BI and Python. They should have a strong background in designing data architectures and ensuring data quality for analytics purposes.

Must-Have Skills

SQLPower BIPythonData EngineeringData Modeling

Nice-to-Have Skills

HadoopSparkData LakeData ValidationData Analysis

Tools & Platforms

Power BISQLPythonHadoopSpark

Required Skills

SQLPower BIPythonData EngineeringData ModelingData LakeData ManagementData GovernanceData IntegrationData Processing

Hard Skills

SQLPower BIPythonData EngineeringData ModelingData LakeData ManagementData GovernanceData IntegrationData Processing

Soft Skills

CommunicationProblem-solvingAnalytical thinkingSelf-starterTeamwork

Industry & Role

Industry Energy

Job Function Data engineering and analytics support for energy customer service organization

Role Subtype Data Engineer

Tech Domains Power BI, Python, SQL / PostgreSQL

Keywords for Your Resume

Data EngineerSQLPower BIPythonData LakeData ManagementData GovernanceData IntegrationData ProcessingData ModelingHadoopSparkData ValidationData AnalysisData Engineering

Deal Breakers

Lack of experience with SQL or Python, No experience in data modeling or data lakes, Bachelor's degree not in relevant field, No experience with data governance or integration

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