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Prudent Globaltech Solutions
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Data Engineer - GZ

Data Engineer - GZ

Prudent Globaltech Solutions

8 - 15 years

4 - 7 Lacs

hyderabad

Posted:1 week ago| Platform:

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Skills Required

performance tuning automation data modeling coding data processing data quality stored procedures distribution system monitoring sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role

We are seeking a highly skilled and motivated Lead Data Engineer to design, develop, and manage scalable data pipelines and modern data platforms. The ideal candidate will have strong expertise in ETL/ELT, SQL, PySpark, Azure Cloud, and Snowflake, along with proven leadership experience in guiding teams and delivering enterprise-grade data solutions.

Key Responsibilities

Design, build, and optimize scalable and reliable ETL/ELT pipelines using SQL, PySpark, and cloud-native services.
Implement data ingestion, transformation, and integration workflows from multiple structured/unstructured data sources.
Ensure data quality, integrity, and performance across the data lifecycle.

Cloud & Data Platform Management

Architect and manage data solutions on Azure (ADF, Data Lake, Databricks, Synapse).
Leverage Snowflake for data modeling, performance tuning, and advanced analytics.
Implement security, governance, and monitoring best practices.

Leadership & Collaboration

Lead and mentor a team of data engineers, setting technical direction and enforcing coding/architecture standards.
Collaborate with data architects, analysts, and business stakeholders to define data requirements and deliver solutions.
Drive adoption of modern data engineering practices, CI/CD, and automation.

Performance & Optimization

Optimize large-scale data processing using PySpark and distributed systems.
Implement best practices for query tuning, cost optimization, and pipeline efficiency.

Technical Expertise:

Strong hands-on experience with ETL/ELT design and development.
Proficiency in SQL (advanced) for complex queries, performance tuning, and stored procedures.
Expertise in PySpark and distributed data processing frameworks.
Solid experience with Azure services (ADF, ADLS, Databricks, Synapse, Key Vault, etc.).
Strong working knowledge of Snowflake (data modeling, SnowSQL, task/stream management, query optimization).

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Data Engineer - GZ