MANAGER

Dharampal Satyapal Group (DS Group); Dadri; On-site; INR 700,000 - 1,200,000; Full time

Job summary

DS Group is seeking a hands-on Data Engineering, Analytics and AI professional to design, develop and maintain scalable data platforms, analytical solutions and business applications.

Key responsibilities include building ETL/ELT pipelines, Snowflake data workloads, Python processing, ML model integration and Tableau dashboards, with a focus on data quality and reliable performance.

Qualifications

• Minimum two years of experience in data engineering, analytics or application development.
• Strong hands-on knowledge of Advanced SQL, stored procedures, Snowflake and data pipelines.
• Proficiency in Python.
• Practical experience with machine learning and Tableau.
• Good understanding of data modelling, data validation and performance optimisation.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Develop complex SQL queries, stored procedures and reusable data transformations.
• Design, build and maintain reliable ETL/ELT data pipelines.
• Develop and optimise data models, warehouses and workloads in Snowflake.
• Use Python for data processing, automation, API integration and analytical solutions.
• Develop, evaluate and integrate machine-learning models into business workflows.
• Create interactive Tableau dashboards and translate business requirements into actionable insights.
• Monitor data quality, pipeline performance and system reliability.
• Troubleshoot performance issues and optimise SQL queries, stored procedures and data-processing workflows.
• Maintain technical documentation and follow coding, testing and version-control standards.
• Collaborate with business stakeholders, analysts, developers and other technology teams.

Skills

Advanced SQL

Stored procedures

Python

Machine learning

Tableau

Data modelling

Data validation

Performance optimisation

Analytical skills

Communication skills

Tools

Snowflake

Tableau

Python

Job description

We are looking for a hands-on Data Engineering, Analytics and AI professional to design, develop and maintain scalable data platforms, analytical solutions and business applications.

Key responsibilities

• Develop complex SQL queries, stored procedures and reusable data transformations.
• Design, build and maintain reliable ETL/ELT data pipelines.
• Develop and optimise data models, warehouses and workloads in Snowflake.
• Use Python for data processing, automation, API integration and analytical solutions.
• Develop, evaluate and integrate machine-learning models into business workflows.
• Create interactive Tableau dashboards and translate business requirements into actionable insights.
• Monitor data quality, pipeline performance and system reliability.
• Troubleshoot performance issues and optimise SQL queries, stored procedures and data-processing workflows.
• Maintain technical documentation and follow coding, testing and version-control standards.
• Collaborate with business stakeholders, analysts, developers and other technology teams.

Required qualifications and experience

• Minimum two years of relevant experience in data engineering, analytics or application development.
• Strong hands-on knowledge of Advanced SQL, stored procedures, Snowflake and data pipelines.
• Proficiency in Python.
• Practical experience with machine learning and Tableau.
• Good understanding of data modelling, data validation and performance optimisation.
• Strong analytical, problem-solving and communication skills.