Energy Aspects Hiring Drive 2024: Energy Aspects Hiring Drive 2024 for its Data Engineer. Energy Aspects Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. If you are interested, please apply as soon as possible.
Company Name: Energy Aspects
Role: Data Engineer
Location: Kolkata
Experience: 2+ years
Qualification: B.E/B.Tech
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Energy Aspects Hiring Drive 2024
Job Description:
- Energy Aspects currently have an exciting opportunity available for a Data Engineer to join our Data Engineering team based out of our Kolkata office.
- This is a fantastic opportunity for an experienced data engineer to support the ETL, data pipelines, core databases and strategic projects underpinning the work of our highly regarded global oil, natural gas and energy teams, optimizing our data content and capabilities.
- The successful candidate will be responsible for building entirely new data products and maintaining/iterating on our existing datasets, data pipelines and tools in use daily at Energy Aspects by the Data and Research teams.
- You will take ownership of systems within a cloud-first data stack and be expected to quickly contribute to production-level Python codebases.
- You will closely support Data Analysts/other technical analysts, while helping to shape and drive forward the future state of data engineering at Energy Aspects.
Requirements:
- 2+ years experience as a Data Engineer
- Our tech stack is predominantly:
- Python: Anaconda, pandas, SQLAlchemy, web scraping libraries
- SQL: PostgreSQL
- Cloud: GCP, AWS
- DevOps: Docker, Doppler
- Orchestration: Airflow
- Data visualization + apps: Plotly, dash, Flask, Retool
- Experience building reliable, maintainable data pipelines
- Experience with web scraping
- Experience with scheduling/orchestration tools
- Strong understanding of how to build, extend, query SQL databases – natively and via Python
- Understanding of how to best organize and model data for storage, retrieval, and analysis
- Best practice in data development: documentation, version control, testing and automation
- Understanding of the importance of data governance and metadata
- A methodical, analytical, and organised approach to tackling large scale projects and data sets
- Effective communication skills, comfortable presenting to technical and non-technical audiences
- Experience cloud infrastructure, and familiarity with Infrastructure as Code
- Experience with Docker/containers
- Experience working with high frequency timeseries data and/or streaming data
- Building and managing other database/datastore technologies (NoSQL variants, file stores, etc.)
- Experience working with Python web frameworks, Jinja templating and/or JavaScript
- Prior forecasting or modeling experience or training
- An interest in commodities, energy or financial markets would be beneficial
Responsibility:
- Build/maintain data pipelines using Python
- Build/extend/transform core datasets inside a SQL data warehouse
- Design and implement new data solutions for use by internal teams and external clients
- Support a range of strategic, company-level data initiatives
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