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Autogrid

Software Engineer II - Data Engineer (Python)

Pune, India
Spark Git Flask FastAPI MongoDB AWS Python SQL GCP API PostgreSQL MySQL
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Description

Description

The Position
We are seeking a seasoned engineer with a passion for changing the way millions of people save energy. You’ll work within the Engineering team to build and improve our platforms to deliver flexible and creative solutions to our utility partners and end users and help us achieve our ambitious goals for our business and the planet. 

 

We are seeking a skilled and passionate Data Engineer with expertise in Python to join our development team. As a Data Engineer, you will play a crucial role developing different components, harnessing the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, data processing and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product is important.

 

You will own the development and its quality independently and be responsible for high quality deliverables. And you will work with a great team with excellent benefits.
Responsibilities & Skills
You should: 
  • Be excited to work with talented, committed people in a fast-paced environment. 
  • Use a data-driven approach and actively work on product & technology roadmap at strategy level and day-to-day tactical level.
  • Have a proven experience as a Data Engineer with a focus on Python.
  • Be designing, building, and maintaining high performance solutions with reusable, and reliable code.
  • Use a rigorous approach for product improvement and customer satisfaction.
  • Love developing great software as a seasoned product engineer.
  • Be ready, able, and willing to jump onto a call with a partner or customer to help solve problems. 
  • Be able to deliver against several initiatives simultaneously.
  • Have a strong eye for detail and quality of code.
  • Have an agile mindset.
  • Have strong problem-solving skills and attention to detail.
Required Skills (Data Engineer): 
  • You are an experienced developer – you ideally have 4 or more years of professional experience 
  • Design, build, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs.
  • Strong proficiency in Python for building and automating data pipelines, ETL processes, and data integration workflows.
  • Strong Experience with SQL for querying and transforming large datasets, and optimizing query performance in relational databases.
  • Familiarity with big data frameworks such as Apache Spark or PySpark for distributed data processing.
  • Hands-on experience with data pipeline orchestration tools like Apache Airflow or Prefect for workflow automation.
  • Strong Understanding of data modeling principles for building scalable and efficient data architectures (e.g., star schema, snowflake schema).
  • Good to have experience with Databricks for managing and processing large datasets, implementing Delta Lake, and leveraging its collaborative environment.
  • Knowledge of Google Cloud Platform (GCP) services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage for end-to-end data engineering solutions.
  • Familiarity with version control systems such as Git and CI/CD pipelines for managing code and deploying workflows.
  • Awareness of data governance and security best practices, including access control, data masking, and compliance with industry standards.
  • Exposure to monitoring and logging tools like Datadog, Cloud Logging, or ELK stack for maintaining pipeline reliability.
  • Ability to understand business requirements and translate them into technical requirements.
  • Expertise in solutions design.
  • Demonstrable experience with writing unit and functional tests.
  • Ability to deliver against several initiatives simultaneously as a multiplier. 
Required Skills (Python): 
  • You are an experienced developer - a minimum of 4+ years of professional experience 
  • Python experience, preferably both 2.7 and 3.x 
  • Strong Python knowledge - familiar with OOPs, data structures and algorithms
  • Work experience & strong proficiency in Python and its associated frameworks (like Flask, FastAPI etc.)
  • Experience in designing and implementing scalable microservice architecture 
  • Familiarity with RESTful APIs and integration of third-party APIs
  • 2+ years building and managing APIs to industry-accepted RESTful standards 
  • Demonstrable experience with writing unit and functional tests 
  • Application of industry security best practices to application and system development 
  • Experience with database systems such as PostgreSQL, MySQL, or MongoDB
The following experiences are not required, but you'll stand out from other applicants if you have any of the following, in our order of importance: 
  • Experience with cloud infrastructure like AWS/GCP or other cloud service provider experience 
  • Serverless architecture, preferably AWS Lambda 
  • Solid CI/CD experience 
  • You are a Git guru and revel in collaborative workflows 
  • You work on the command line confidently and are familiar with all the goodies that the linux  toolkit can provide 
  • Knowledge of modern authorization mechanisms, such as JSON Web Token
Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Uplight provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type without regard to race (including hair texture and hairstyles), color, religion (including head coverings), age, sex, national origin, caste, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

 

Autogrid
Autogrid
Analytics Artificial Intelligence (AI) Cloud Computing Electric Vehicle Energy Energy Storage Internet of Things Renewable Energy

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