: We are looking for a skilled and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the infrastructure required for productive collection, storage, and analysis of large-scale data sets. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, reliability, and performance, enabling the organization to make informed decisions.

Key Responsibilities: Data Infrastructure Development:

Design, build, and maintain scalable data pipelines to ingest, process, and transform large datasets from multiple sources.

Implement data storage solutions, such as data lakes, warehouses, and cloud-based systems, ensuring they meet business needs.

Data Management & Governance:

Develop and maintain ETL (Extract, Transform, Load) processes for moving data between systems.

Ensure data integrity, quality, and consistency across platforms, implementing best practices for data governance.

Collaboration & Integration:

Collaborate with data scientists, analysts, and other teams to understand their data requirements and translate them into technical solutions.

Integrate data from various internal and external data sources, including APIs, databases, and third-party systems.

Performance & Optimization:

Monitor data infrastructure performance, identifying areas for optimization and cost-saving opportunities.

Implement data partitioning, indexing, and optimization techniques to improve query and data processing performance.

Security & Compliance:

Ensure that data architecture meets all security and compliance requirements, including data privacy standards such as GDPR.

Develop and enforce policies for data access and usage, maintaining audit logs and other compliance records.

Innovation & Continuous Improvement:

Stay updated on emerging data engineering technologies, frameworks, and best practices.

Contribute to the improvement of data processes, automation, and tooling across the organization.

Job Category: Data Engineer Job Type:



Full Time Job Location: Pune Apply for this position Full Name Email Phone Cover Letter Upload CV/Resume Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website.

Key Responsibilities: Data Infrastructure Development:

Design, build, and maintain scalable data pipelines to ingest, process, and transform large datasets from multiple sources.

Implement data storage solutions, such as data lakes, warehouses, and cloud-based systems, ensuring they meet business needs.

Data Management & Governance:

Develop and maintain ETL (Extract, Transform, Load) processes for moving data between systems.

Ensure data integrity, quality, and consistency across platforms, implementing best practices for data governance.

Collaboration & Integration:

Collaborate with data scientists, analysts, and other teams to understand their data requirements and translate them into technical solutions.

Integrate data from various internal and external data sources, including APIs, databases, and third-party systems.

Performance & Optimization:

Monitor data infrastructure performance, identifying areas for optimization and cost-saving opportunities.

Implement data partitioning, indexing, and optimization techniques to improve query and data processing performance.

Security & Compliance:

Ensure that data architecture meets all security and compliance requirements, including data privacy standards such as GDPR.

Develop and enforce policies for data access and usage, maintaining audit logs and other compliance records.

Innovation & Continuous Improvement:

Stay updated on emerging data engineering technologies,



frameworks, and best practices.

Contribute to the improvement of data processes, automation, and tooling across the organization.

Job Category: Data Engineer Job Type: Full Time Job Location: Pune Key Responsibilities: Data Infrastructure Development:

Design, build, and maintain scalable data pipelines to ingest, process, and transform large datasets from multiple sources.

Implement data storage solutions, such as data lakes, warehouses, and cloud-based systems, ensuring they meet business needs.

Data Management & Governance:

Develop and maintain ETL (Extract, Transform, Load) processes for moving data between systems.

Ensure data integrity, quality, and consistency across platforms, implementing best practices for data governance.

Collaboration & Integration:

Collaborate with data scientists, analysts, and other teams to understand their data requirements and translate them into technical solutions.

Integrate data from various internal and external data sources, including APIs, databases, and third-party systems.

Performance & Optimization:

Monitor data infrastructure performance, identifying areas for optimization and cost-saving opportunities.

Implement data partitioning, indexing, and optimization techniques to improve query and data processing performance.

Security & Compliance:

Ensure that data architecture meets all security and compliance requirements, including data privacy standards such as GDPR.

Develop and enforce policies for data access and usage, maintaining audit logs and other compliance records.

Innovation & Continuous Improvement:

Stay updated on emerging data engineering technologies, frameworks, and best practices.

Contribute to the improvement of data processes, automation, and tooling across the organization.

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📌 Data Engineer (Pune)
🏢 sachcloudy solutions, pune
📍 Pune