Flag job

Report

Software Engineer(Data & Analytics)

Location

Greater Kolkata Area

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Department: Technology

Location: Kolkata

Description

Energy Aspects currently has an exciting opportunity available for a Software Engineer to join our Data & Analytics team based out of our Kolkata office. This is a fantastic opportunity for an experienced data engineer to support the Data driven applications, APIs, 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 applications, APIs, datasets, data pipelines, and tools used daily by the Data and Research teams at Energy Aspects. You will take ownership of systems within a cloud-first data stack and be expected to contribute quickly 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 & Analytics team at Energy Aspects.

Key Responsibilities

  • Develop and maintain robust data pipelines using Python, ensuring efficient data flow and processing.
  • Build, extend, and transform core datasets within the data warehouse to support analytics, reporting, and visualization needs.

  • Design, develop, and deploy data APIs and data analytics applications using AWS or GCP services, enabling seamless data access and integration.
  • Create and implement data visualizations to present complex data insights in an accessible and actionable format for internal teams and external clients.
  • Collaborate with various cloud services to create new services and scrapes, facilitating data collection and presentation in diverse formats.
  • Design and implement innovative data solutions for internal teams and external clients, focusing on scalability, performance, and visualization.
  • Support a range of strategic, company-level data initiatives, contributing to the overall data strategy and architecture.

Requirements

Responsibilities:
  • Develop and maintain robust data pipelines using Python, ensuring efficient data flow and processing.
  • Build, extend, and transform core datasets within the data warehouse to support analytics, reporting, and visualization needs.
  • Design, develop, and deploy data APIs and data analytics applications using AWS or GCP services, enabling seamless data access and integration.
  • Create and implement data visualizations to present complex data insights in an accessible and actionable format for internal teams and external clients.
  • Collaborate with various cloud services to create new services and scrapes, facilitating data collection and presentation in diverse formats.
  • Design and implement innovative data solutions for internal teams and external clients, focusing on scalability, performance, and visualization.
  • Support a range of strategic, company-level data initiatives, contributing to the overall data strategy and architecture.

Requirements:
  • Minimum of 4 years of experience in software development, with a focus on data engineering, application development, and data visualization.
  • Proficiency and knowledge in building Python-based data pipeline, web development (dash, fast api etc), web scraping techniques, and data visualization libraries such as Plotly. Matplotlib etc
  • Experience with scheduling and orchestration tools, such as Airflow, to automate data workflows.
  • Strong understanding of building, extending, and querying SQL databases, both natively and via Python.
  • Understanding of NoSQL databases, such as Firestore, MongoDB or Cassandra and their use cases in data storage and retrieval.
  • Knowledge of best practices for organizing and modelling data for storage, retrieval, analysis, and visualization.
  • Familiarity with data development best practices, including documentation, version control, testing, and automation.
  • Understanding of the importance of data governance and metadata management.
  • Experience with AWS or GCP services for data analytics, application development, and visualization, such as AWS Lambda, AWS API Gateway, Google Cloud Functions, Google Cloud Pub/Sub is highly desirable.

Our Culture & Benefits

Welcome to our unique workplace where a passion for our industry-leading product sits at the heart of who we are.

Life at EA is completely eclectic, fostered through the global nature of the business and a real appreciation of the many cultures of our diverse team. We unite as a single, cohesive team through an array of social clubs that cater to a spectrum of interests, from running and yoga to football and culinary adventures. These groups create a collegial and dynamic atmosphere that extends beyond work, promoting a healthy and balanced lifestyle for our team.

Our strategically located offices are all set in prestigious buildings, offering you the convenience of nearby gyms, retail therapy, diverse dining options, and accessible public transport.

Located at South City Business Park, Anandpur with convenient access around Kolkata, our office is thoughtfully equipped to enhance your day-to-day experience whether working independently or collaborating with teammates. Enjoy the simple pleasures of a freshly brewed coffee, healthy snacks, and a social space for celebratory moments.

We recognise your contribution with a competitive compensation package that includes annual bonuses, comprehensive private health insurance, and substantial pension contributions. Additionally, we offer company share options, subsidised gym memberships, lunch allowance and a generous holiday policy to support your financial and personal well-being.

Join a company that values your professional growth and personal fulfilment, all within a supportive and engaging environment.

Skills

Python
Airflow
AWS
Cassandra
Dash
data analytics
data engineer
data solutions
data strategy
data warehouse
ETL
GCP
Google Cloud
Lambda
Matplotlib
metadata management
NoSQL
SQL
strategic projects
version control
web development