Junior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $95k - $105k / year

⏰ Full Time

🟢 Junior

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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.Kreate

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1997

💼 Consulting

📦 Logistics

⚡ Energy

Consulting • Logistics • Energy

Kreate is an India-based energy technology and trading company that combines power trading, renewable energy services, and software products. It operates as a registered trading and clearing member of Indian Energy Exchange (IEX) and Power Exchange India Limited (PXIL), facilitating short- and long-term power sale/purchase, open access transactions, and Renewable Energy Certificate (REC) trading. The company develops AI/ML and statistics-driven forecasting and analytics platforms (e. g. , RED Fx) for accurate renewable generation and demand forecasts, and offers a suite of energy-focused software products including trading, scheduling, energy accounting, real-time monitoring (RealGen), and EMS solutions. . Kreate serves utilities, generators, industrial and commercial clients and is organized into divisions such as Kreate Technologies, Kreate Energy, Kreate Lights, and Kreate Commodity.

📋 Description

• Build and maintain data ingestion pipelines and notebooks in Microsoft Fabric, including Data Factory pipelines, Python/Spark notebooks, and Delta tables • Monitor daily scheduled pipelines and container jobs, triage failures, and ensure partially failed jobs are reported accurately • Develop and maintain data quality checks for freshness, row counts, duplicate records, and reconciliation to source systems, with appropriate alerts • Migrate ad-hoc and desktop-scheduled scripts to managed, version-controlled, monitored infrastructure • Model source tables into conformed Silver dimensions and Gold facts with documented data grain and business definitions • Maintain runbooks and the data catalogue • Troubleshoot pipeline issues with senior engineering team members, identify root causes, and build reliable solutions • Collaborate with data, analytics, and business teams to ensure data is accurate, accessible, and fit for reporting and analysis

🎯 Requirements

• 1–3 years of experience in data engineering, analytics engineering, software development, or a related field; internships and substantial academic or personal projects may count toward experience • Solid SQL skills, including joins and window functions, with an understanding of how joins can unintentionally multiply or “fan out” rows • Working knowledge of Python, including pandas or PySpark • Everyday experience using Git and version control • Strong attention to detail and patience for investigating existing pipelines and determining why a data result or metric has changed • Strong commitment to data accuracy and quality, with the judgment to flag discrepancies rather than deliver numbers that simply appear reasonable • Strong problem-solving skills and interest in learning data engineering practices, tools, and technologies • Experience with Microsoft Fabric, Azure Data Factory, Databricks, or Synapse • Familiarity with Delta Lake and Parquet • Basic knowledge of Azure services such as App Service, Container Apps, Key Vault, and Entra ID • Experience working with ERP or manufacturing data, including Oracle, IQMS/DELMIAworks, SAP, or Epicor • Experience with Power BI