Senior Data Engineer

Nextracker Inc.

Hyderabad

In loco

INR 1.400.000 - 2.400.000

Tempo pieno

12 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Nextpower in Hyderabad, India is seeking an experienced Data Engineer to design, develop, and maintain end-to-end data pipelines on Azure.

You will work with Azure Data Factory, ADLS Gen2, and MySQL to ingest, transform, and load data into data lakes and warehouses, ensuring data quality, governance, and performance. Collaborate with data scientists, analysts, and business teams to deliver scalable data solutions in a fast-paced environment.

Competenze

  • 6-8 years of experience in data engineering or related roles.
  • Strong hands-on experience with Azure Data Factory (ADF).
  • Strong hands-on experience with Azure Data Lake Storage (ADLS Gen2).
  • Solid experience with MySQL: Query optimization.
  • Solid experience with MySQL: Stored procedures.
  • Solid experience with MySQL: Indexing and performance tuning.
  • Proficiency in SQL & PLSQL.
  • Experience in building data pipelines and data warehousing solutions.
  • Data quality evaluation and data migration techniques.
  • Familiarity with REST APIs and data integration techniques.
  • Experience with version control (Git) and CI/CD practices.
  • Understanding of data quality tools and techniques.
  • Knowledge of modern data architectures, including Medallion (Bronze/Silver/Gold) design patterns.

Mansioni

  • 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.

Conoscenze

Azure Data Factory
Azure Data Lake Storage
MySQL
SQL & PLSQL
Data pipelines
Data warehousing
Data quality & governance
REST APIs
Git & CI/CD
Medallion architecture

Formazione

Bachelor's degree in mathematics, statistics, economics, engineering, or related field

Strumenti

Git
CI/CD

Descrizione del lavoro

Key Responsibilities
  • 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.
Required Skills and Experience
  • 6-8 years of experience in data engineering or related roles.
  • Strong hands‑on experience with Azure Data Factory (ADF).
  • Strong hands‑on experience with Azure Data Lake Storage (ADLS Gen2).
  • Solid experience with MySQL: Query optimization.
  • Solid experience with MySQL: Stored procedures.
  • Solid experience with MySQL: Indexing and performance tuning.
  • Proficiency in SQL & PLSQL.
  • Experience in building data pipelines and data warehousing solutions.
  • Data quality evaluation and data migration techniques.
  • Familiarity with REST APIs and data integration techniques.
  • Experience with version control (Git) and CI/CD practices.
  • Understanding of data quality tools and techniques.
  • Knowledge of modern data architectures, including Medallion (Bronze/Silver/Gold) design patterns.
Soft Skills
  • Excellent communication and collaboration skills to work effectively with cross‑functional teams.
  • Strong analytical and problem‑solving abilities.
  • Ability to manage time effectively and deliver in dynamic, fast‑paced environments.
Minimum Qualifications

6 to 8 years of experience in data engineering, with a focus on cloud‑based architecture. Proven expertise in SQL, PLSQL & Azure data ecosystem. Strong documentation and reporting abilities.

Preferred Qualifications
  • Experience in process modeling and continuous improvement.
  • Familiarity with data governance frameworks.
  • Domain experience in supply chain management, logistics, or finance analytics, enabling data‑driven decision‑making across the enterprise.
Education

Bachelor's degree in mathematics, Statistics, Economics, Engineering, or a related business/analytical discipline

At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility‑scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data‑driven insights, and advanced automation. Together, we're building the foundation for the world’s next generation of clean energy infrastructure.

We are Nextpower

At Nextpower, we are driving the global energy transition with an integrated clean energy technology platform that combines intelligent structural, electrical, and digital solutions for utility‑scale power plants. Our comprehensive portfolio enables faster project delivery, higher performance, and greater reliability, helping our customers capture the full value of solar power. Our talented worldwide teams are redefining how solar power plants are designed, built, and operated every day with smart technology, data‑driven insights, and advanced automation. Together, we're building the foundation for the world’s next generation of clean energy infrastructure.

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