Senior Data Engineer

1 month ago


Chennai, Tamil Nadu, India Peak Hire Solutions Full time
Job Title: Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain robust data pipelines that extract, transform, and load data from disparate applications into our Azure-based data platform.

Key Responsibilities:
  • Design and develop scalable and efficient data pipelines using Azure Data Factory, Azure Databricks, Kafka, and other relevant tools.
  • Extract data from various applications using APIs, webhooks, or other methods.
  • Ingest and process real-time data streams using Kafka.
  • Transform and clean data to ensure data quality and consistency.
  • Load data into ADLS Gen2 in optimized formats (e.g., Parquet, Delta Lake).
  • Build and maintain data models and schemas.
  • Collaborate with data analysts and business stakeholders to understand data requirements and deliver actionable insights.
  • Optimize data pipelines for performance and cost efficiency.
  • Implement data governance and security best practices.
  • Mentor junior data engineers and provide technical guidance.
Requirements:
  • Strong proficiency in Python, Scala, or Java programming languages.
  • Expertise in data engineering tools and technologies such as Azure Data Factory, Azure Databricks, ADLS Gen2, Kafka, and Delta Lake.
  • Experience with cloud computing platforms, preferably Azure.
  • Knowledge of data modelling, ETL/ELT processes, data warehousing, and real-time data processing concepts.
  • Strong problem-solving and analytical skills.
  • Ability to work independently and as part of a team.
  • Excellent communication and interpersonal skills.
  • Bachelor's degree in computer science, engineering, or a related field.
Preferred Qualifications:
  • Knowledge of machine learning and AI concepts.
  • Certifications in Azure or related technologies.
  • Experience with Node.js, Java or.NET Core for developing connector APIs.

This role offers a unique opportunity to work on challenging data engineering projects and contribute to the growth of our data-driven organization.



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