Data Engineer – Python

4 days ago

Hyderabad, Telangana, India CBNsense Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Job Title
: Data Engineer – Python / PySpark

Number of Position:
10

Experience
: 3 to 10 years

Location
: Hyderabad (Client - USA)

Work Model:
 Full-time, In-Office. This is an offsite opportunity supporting a US client. The role requires you to work from our Hyderabad client location daily.

Job Type:
 Contract-to-Hire

Client Domain
: Utilities / Energy

About the Role

We are seeking a highly skilled Data Engineer with hands-on expertise in Python, PySpark, and Palantir Foundry. The ideal candidate will have experience working on large-scale data processing, transformation, and analytics solutions within the utilities or related domains. You will collaborate closely with business stakeholders, solution architects, and data analysts to design and deliver efficient, scalable, and high-quality data pipelines.

Key Responsibilities

  • Design, build, and maintain scalable ETL pipelines using Python and PySpark.
  • Ensure data quality, reliability, and governance across systems and pipelines.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Perform performance tuning and troubleshooting of big data applications.
  • Work with large datasets from multiple sources (structured/unstructured) and prepare them for analytics and reporting.
  • Follow best practices in coding, testing, and deployment for enterprise-grade data applications.

Required Skills & Qualifications

  • 3–10 years
     of professional experience in data engineering, preferably in utility, energy, or similar industries.
  • Strong proficiency in 
    Python
     programming.
  • Hands-on experience with 
    PySpark
     for big data processing.
  • Good understanding and working knowledge of 
    Palantir Foundry
     (pipelines, ontology, data modeling, transforms, code repositories, data integration and transformation).
  • Experience with 
    SQL
     and handling large datasets.
  • Familiarity with data governance, data security, and compliance requirements in enterprise environments.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.

Nice-to-Have Skills

  • Experience with 
    AWS
    , 
    Azure
    , or 
    GCP
     cloud data services.
  • Knowledge of utilities domain data models and workflows.
  • Exposure to 
    DevOps / CI-CD
     pipelines for data engineering solutions.
  • Knowledge of visualization tools like 
    Tableau
    , 
    Power BI
    , or Palantir dashboards.
  • Experience in Palantir Foundry.

Why Join Us

  • Work on cutting-edge Palantir Foundry-based solutions in the utilities sector.
  • Be part of a dynamic, collaborative, and innovation-driven team.
  • Opportunity to grow your technical expertise across modern data platforms.

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