RandomTrees | Data Engineer- GCP/AWS/Azure | india

2 days ago


india RandomTrees Full time

Job Title : Data Engineer

Location : Hyderabad -Hybrid

Experience : 7Yrs to 9Yrs

Job Summary :

We are seeking a skilled and motivated Data Engineer to design, build, and optimize our data pipelines and workflows. The ideal candidate has strong experience with cloud platforms (AWS, GCP, or Azure), is proficient in SQL and Python, and can work collaboratively with cross-functional teams to ensure data integrity, scalability, and performance.

Key Responsibilities :

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes across cloud platforms like AWS, GCP, or Azure.
  • Collaborate with data scientists, analysts, and stakeholders to ensure efficient data flow and accessibility.
  • Develop and optimize complex SQL queries and stored procedures to extract and manipulate data.
  • Build and maintain data models and data lakes/warehouses.
  • Ensure data quality, security, and compliance with organizational standards.
  • Use Python for scripting, automation, and data manipulation tasks.
  • Work with orchestration tools such as Apache Airflow, AWS Step Functions, or similar technologies.
  • Implement CI/CD pipelines for data engineering workflows.
  • Monitor and troubleshoot data pipelines to ensure high availability and performance.
  • Stay updated with the latest trends in data engineering and cloud technologies.

Required Skills and Qualifications :

  • Proven experience as a Data Engineer with a focus on cloud platforms (AWS, GCP, Azure).
  • Proficiency in SQL for querying and database management.
  • Strong Python programming skills for data manipulation and scripting.
  • Hands-on experience with ETL tools and frameworks (e.g., AWS Glue, Apache Beam, or Azure Data Factory).
  • Familiarity with big data tools like Spark, Hive, or Dataproc.
  • Knowledge of data modeling, schema design, and data architecture principles.
  • Experience with version control systems (e.g., Git) and CI/CD tools.
  • Understanding of security and compliance standards for data handling.
  • Strong problem-solving and communication skills.



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