Senior Data Engineer

Job not on LinkedIn

🔥 58 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.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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Nextracker Inc.

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1001 - 5000 employees

Founded 2013

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Nextracker Inc. is a provider of solar energy solutions that designs, supplies, and supports utility-scale solar projects from design through operations. The company delivers specialized solar tracking hardware, installation logistics, training, and ongoing operations support, and pairs field-proven equipment with data-driven “solar intelligence” to improve yield, speed deployments, and ensure reliable performance in challenging environments worldwide.

📋 Description

• Design, develop, and maintain data ingestion, transformation, and integration pipelines using Azure Data Factory • Ensure seamless integration of data from disparate systems and applications • Work extensively with MySQL databases for data extraction, transformation, and performance tuning • Develop and maintain data lakes and data warehouses on Azure • Ensure data quality, integrity, and governance across systems • Optimize SQL queries, stored procedures, and indexing in MySQL • Collaborate with data scientists, analysts, and business teams to deliver data solutions • Monitor, troubleshoot, and improve pipeline performance and reliability

🎯 Requirements

• 6–8 years of experience in data engineering or related roles • Strong hands-on experience with Azure Data Factory (ADF) • Azure Data Lake Storage (ADLS Gen2) • MySQL query optimization, stored procedures, indexing, and performance tuning • Proficiency in SQL and Python; PySpark preferred • Experience building data pipelines and data warehousing solutions • Knowledge of data modeling, including star and snowflake schemas • Familiarity with REST APIs and data integration techniques • Experience with Git and CI/CD practices • Familiarity with Power BI or other visualization tools • Experience with cloud databases such as Redshift, Synapse, Snowflake, or Firebolt • Understanding of data quality tools and techniques • Knowledge of modern data architectures, including Medallion (Bronze/Silver/Gold) design patterns • Experience building code through AI frameworks • Strong documentation and reporting abilities • Bachelor's degree in mathematics, Statistics, Economics, Engineering, or a related business/analytical discipline

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