Data Engineer Lead

1 day ago


Hyderabad, Telangana, India Prudent Technologies and Consulting, Inc. Full time

Job Overview

We are seeking a highly skilled Data Engineer to lead our data pipeline development team at Prudent Technologies and Consulting, Inc. The ideal candidate will have extensive experience in Snowflake, dbt, Snaplogic, SQL Server, PostgreSQL, Azure Data Factory, and other ETL tools.

About the Role

This is an excellent opportunity for a motivated and talented Data Engineer to join our team and drive the design, development, and maintenance of scalable data pipelines using Snowflake, dbt, Snaplogic, and ETL tools.

Key Responsibilities:

  • Data Pipeline Development: Design, develop, and maintain high-performance data pipelines that integrate with various data sources, ensuring consistency, accuracy, and reliability.
  • SQL Optimization: Write and optimize complex SQL queries to ensure efficient data processing and minimize latency.
  • Data Integration: Develop and manage ETL processes to support data warehousing and analytics, working closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
  • Database Management: Manage and maintain SQL Server and PostgreSQL databases, ensuring optimal performance and security.
  • Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and improve business outcomes.
  • Documentation: Maintain comprehensive documentation of data models, data flows, and ETL processes, ensuring seamless knowledge transfer and continuous improvement.
  • Troubleshooting: Identify and resolve complex data-related issues and discrepancies, leveraging technical expertise and problem-solving skills.
  • Technical Skills:
    • Proficiency in Snowflake, dbt, Snaplogic, SQL Server, PostgreSQL, and Azure Data Factory.
    • Strong SQL skills with the ability to write and optimize complex queries.
    • Knowledge of Python for data manipulation and automation.
    • Knowledge of data governance frameworks and best practices.

Requirements

  • Bachelor's degree in Computer Science or related field.
  • At least 5 years of experience in data engineering, with a strong focus on pipeline development, SQL optimization, and data integration.
  • Excellent problem-solving and analytical skills, with the ability to communicate complex technical concepts effectively.
  • Strong collaboration and leadership skills, with the ability to motivate and guide cross-functional teams.
  • Relevant certifications (e.g., Snowflake, Azure) are a plus.

Compensation Package

The salary range for this position is $120,000-$160,000 per year, depending on experience and qualifications.



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