Technical Engineer I

Posted 17 Days Ago
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Hyderabad, Telangana
Senior level
Energy • Renewable Energy
The Role
The Technical Engineer I role involves designing and building scalable data pipelines, maintaining data warehouses, and collaborating with cross-functional teams to meet data needs. Responsibilities include implementing ETL processes, optimizing data quality, and supporting data engineering components. This position requires expertise in Python, SQL, and various data management platforms.
Summary Generated by Built In

Job Description:

Key Responsibilities:

  • Partner with cross-funcitonal teams and data analysts to understand data needs
  • Apply proven expertise and build high-performance scalable data warehouses
  • Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
  • Securely source external data from numerous partners
  • Intelligently design data models for optimal storage and retrieval
  • Deploy inclusive data quality checks to ensure high quality of data
  • Optimize existing pipelines and maintain of all domain-related data pipelines
  • Ownership of the end-to-end data engineering component of the solution
  • Support on-call shift as needed to support the team
  • Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data

Minimum Qualifications:


  • BS/MS in Computer Science or a related technical field
  • 5+ years of Python or other modern programming language development experience
  • 5+ years of SQL and relational databases experience
  • 5+ years experience in custom ETL design, implementation and maintenance
  • 3+ years of experience with workflow management engines (i.e. Airflow, Azure Data Factory etc)
  • 3+ years experience with Data Modeling
  • Experience working with cloud or on-premises Big Data/MPP analytics platform (i.e. Google BigQuery, Azure Data Warehouse, or similar)

Preferred Qualifications:

  • Experience with more than one coding language
  • Experience designing and implementing real-time pipelines
  • Experience with data quality and validation
  • Experience with SQL performance tuning and end-to-end process optimization
  • Experience with anomaly/outlier detection
  • Experience with notebook-based Data Science workflow
  • Experience with Airflow
  • Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
  • Experience building systems integrations, tooling interfaces, implementing integrations for ERP systems (Netsuite, Saleforce etc).

At Nextracker, we are leading in the energy transition, providing the most comprehensive portfolio of intelligent solar tracker and software solutions for solar power plants, as well as strategic services to capture the full value of solar power plants for our customers. Our talented worldwide teams are transforming PV plant performance every day with smart technology, data monitoring and analysis services.

For us at Nextracker, sustainability is not just a word. It's a core part of our business, values and our operations. Our sustainability efforts are based on five cornerstones: People, Community, Environment, Innovation, and Integrity. We are creative, collaborative and passionate problem-solvers from diverse backgrounds, driven by our shared mission to provide smart solar and software solutions for our customers and to mitigate climate change for future generations.

Culture is our Passion

Top Skills

Python
SQL
The Company
Fremont, CA
1,107 Employees
On-site Workplace

What We Do

Since day one, Nextracker’s mission has been to transition the world to affordable, renewable power, by developing the highest-performing and resilient solar tracking technologies and software in the market for our customers.
From sustainable tracker solutions that conform to uneven terrain and withstand extreme weather, Nextracker systems have resilience built in. Nextracker leads the solar industry with solar tracker technologies that optimize and increase energy production while reducing costs for significant plant ROI

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