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Data Engineer / Data Scientist

Luxoft India
Full Timemid
Amravati, Maharashtra, INPosted April 5, 2026

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PythonSQLAWSGCPDockerKubernetesPostgreSQLSQLiteGitPandasNumPyAgileCI/CD

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Job Description

About the job Attention please!

  • Only short NP-less than 30 days accepted, kindly pay attention to this to save your efforts, thank you for understanding Responsibilities: A highly skilled and motivated Data Engineer/Data Scientist with extensive experience in Python, pandas, SQL, and data analysis. Adept mapping data into a new data model, with tested code. Thrives in independent work environments, with a proven ability to deep dive into complex datasets and deliver impactful results.

Mandatory Skills: Pandas, PostgreSQL, Python Testing Mandatory Skills Description: Over 5 years of experience as a Data Engineer

  • Proven experience bridging business needs and technical development, translating requirements into actionable solutions.
  • Previous background in Technical Business Analysis is preferred and is a strong advantage.
  • Expertise in Python (pandas), SQL, and Excel for exploratory analysis, reporting, and process optimization.
  • Skilled in back-testing and validating solutions to ensure audit compliance and operational readiness.
  • Proficient in mapping data into new data models with robust, tested code.
  • Strong communication skills with the ability to produce clear documentation and stakeholder-facing presentations.

Technical

Skills

  • Programming: Python, pandas, NumPy, SQL
  • Data Management: PostgreSQL, SQLite, CSV
  • Testing: Unit Testing, Integration Testing, CI/CD Pipelines
  • Tools: Git, Jupyter Notebooks Nice-to-Have Skills Description:
  • Python programming.
  • Familiarity with other programming languages and frameworks.
  • Knowledge of software design patterns and architectural principles.
  • Exposure to other cloud platforms (AWS, GCP).
  • Experience with Docker, Kubernetes, and containerised deployments.
  • Relevant certifications (cloud, programming, Agile).
  • Background in static reference data or payments systems.

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