Python Data Engineer with SQL Skills

2 days ago

India Kellton Full time

Position Title : Python Data Engineer with SQL Skills

Location : Hyderabad / Pune

Job Type : Full-Time

Department : Data / Cloud Engineering

About Kellton:

We are a global IT services and digital product design and development company with subsidiaries that serve startup, mid-market, and enterprise clients across diverse industries, including Finance, Healthcare, Manufacturing, Retail, Government, and Nonprofits. At Kellton, we believe that our people are our greatest asset. We are committed to fostering a culture of collaboration, innovation, and continuous learning. Our core values include integrity, customer focus, teamwork, and excellence. To learn more about our organization, please visit us at

Are you craving a dynamic and autonomous work environment? If so, this opportunity may be just what you're looking for. At our company, we value your critical thinking skills and encourage your input and creative ideas to supply the best talent available. To boost your productivity, we provide a comprehensive suite of IT tools and practices backed by an experienced team to work with.

Role Overview:

The Python Data Engineer with SQL skills will play a key role in designing, building, and maintaining efficient data pipelines, integrating data from diverse sources, and ensuring data quality and availability for downstream analysis. You will collaborate with data engineers, analysts, and other stakeholders to support data needs across the organization.

Key Responsibilities:

  • Data Pipeline Development : Design, implement, and maintain scalable data pipelines using Python, SQL, and other ETL (Extract, Transform, Load) technologies.
  • SQL Data Modelling : Develop and optimize complex SQL queries, views, and stored procedures to ensure efficient data retrieval and transformation.
  • Data Integration : Integrate data from diverse sources (databases, APIs, third-party systems, etc.) into the data warehouse or data lake using Python and SQL.
  • Data Warehousing : Assist in the design and management of data warehouse solutions, ensuring efficient data storage and retrieval.
  • Data Quality & Governance : Monitor data quality, implement data validation checks, and ensure data governance standards are met.
  • Collaboration : Work closely with Data Scientists, Analysts, and other stakeholders to understand data needs and ensure the timely availability of clean, reliable data.
  • Automation : Automate data ingestion, processing, and reporting tasks using Python-based workflows and scripts.
  • Performance Optimization : Optimize SQL queries and Python code for improved performance and scalability.
  • Documentation : Document processes, workflows, and code to ensure knowledge sharing and transparency across teams.

Required Skills & Qualifications:

  • Technical Expertise :
  • Strong proficiency in Python for data processing, ETL, and automation tasks.
  • Advanced SQL skills, including query optimization, data modeling, and working with relational databases (e.g., MySQL, PostgreSQL, MS SQL Server, etc.).
  • Experience with ETL tools and frameworks such as Apache Airflow, Luigi, or custom Python scripts.
  • Familiarity with data warehousing concepts (e.g., Snowflake, Redshift, Google BigQuery, or similar).
  • Experience working with APIs and integrating data from external sources.
  • Data Engineering Skills :
  • Experience with data lake architecture and big data technologies (e.g., Hadoop, Spark) is a plus.
  • Familiarity with cloud-based data services (e.g., AWS, Google Cloud, Azure).
  • Knowledge of data modeling best practices, and experience with schema design and indexing .
  • Soft Skills :
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills to collaborate effectively with cross-functional teams.
  • Ability to work in an Agile environment with a strong focus on deadlines and delivering results.
  • Adaptable to changing business needs and emerging technologies.

Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 5+ years of experience in a Data Engineer or similar role.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, or similar) is a plus.
  • Experience with CI/CD pipelines and version control tools like Git.
  • Exposure to machine learning concepts and frameworks (e.g., TensorFlow, Scikit-learn) is beneficial.

How to Apply:

Interested candidates should submit their resume and a brief cover letter detailing their relevant experience to

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