Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Build & Maintain Data Pipelines: Design, develop, and maintain robust, scalable, and efficient ETL/ELT data pipelines.
  • Implement Data Solutions: Implement data models and database solutions on modern cloud platforms like Snowflake , Google BigQuery , Amazon Redshift , and Databricks .
  • Optimize Performance: Monitor, debug, and optimize data pipelines and queries to ensure high performance, reliability, and cost-effectiveness.
  • Ensure Data Quality: Implement data quality checks, validation, and monitoring frameworks to ensure the accuracy and integrity of our data.
  • Collaborate: Work in an agile environment with data scientists, analysts, and architects to understand data needs and deliver effective solutions.
  • Automate & Deploy: Contribute to our CI/CD processes and utilize infrastructure-as-code principles for deploying data infrastructure.
What Youll Bring
  • Proven Experience: Strong track record as a Data Engineer, with hands-on experience building and managing data-intensive applications.
  • Technical Proficiency: Expert-level skills in SQL and Python for data processing and pipeline development.
  • Cloud Skills: Hands-on experience with at least one major cloud provider ( AWS, GCP, or Azure ) and its data services.
  • Modern Data Stack Experience: Practical experience with modern data warehouses or lakehouse platforms like Snowflake , BigQuery , Redshift , or Databricks .
  • Data Fundamentals: Solid understanding of data modeling, data warehousing concepts, and database design.
  • Version Control: Proficiency with Git and CI/CD best practices.
Preferred Qualifications
  • International Client Experience: Proven experience working with international customers, especially in the US and European markets .
  • IT Services Background: Previous experience at a Tier 1 or Tier 2 Indian IT services company is a strong plus.
  • Data Transformation: Experience with data transformation tools like dbt is highly desirable.
  • Workflow Orchestration: Hands-on experience with workflow orchestration tools such as Apache Airflow for managing complex data pipelines.
  • Infrastructure as Code: Familiarity with tools like Terraform or CloudFormation.
  • Streaming Data: Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis).
  • Certifications: Relevant cloud data engineering certifications are a plus.

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