Data Engineering Specialist

4 days ago


Hyderabad Secunderabad Telangana, India beBeeDataEngineering Full time
Job Description:

A Data Engineer with our team will work on designing and implementing end-to-end data pipelines, ensuring seamless data flow, automation, and reliable scheduling.

Responsibilities:
  • Collaborate with cross-functional teams to understand data requirements and translate them into efficient and scalable data solutions.
  • Design and develop data pipelines encompassing data ingestion, transformation, storage, and delivery.
  • Utilize expertise in programming languages like Python to write clean, maintainable, and optimized code for data processing tasks.
  • Leverage experience in Apache Spark and PySpark to distribute data processing across clusters and handle large datasets efficiently.
  • Possess a deep understanding of SQL (Oracle/SQL Server) and NoSQL databases (Big Data) to manage and query data effectively at scale.
  • Design and implement data pipelines on cloud platforms like AWS, Azure, or Snowflake for scalability and cost-effectiveness, leveraging services like S3, Blob Storage, or Data Lake Storage.
  • Orchestrate data pipelines using tools like Airflow or similar solutions to ensure smooth data flow, automation, and reliable scheduling.
  • Build and maintain integrations with RESTful and SOAP web services to facilitate seamless data exchange between systems.
  • Monitor and troubleshoot data pipelines to ensure data quality, consistency, and timely delivery.
  • Champion best practices for data engineering and maintain a high standard of code documentation.
Requirements:
  • 8+ years of experience in data engineering with a proven track record of designing and implementing data pipelines.
  • Strong programming skills in Python with proficiency in libraries like Pandas, Spark, and PySpark for data manipulation and analysis.
  • In-depth knowledge of SQL (Oracle/SQL Server) and NoSQL databases (Big Data) for data storage and retrieval at scale.
  • Experience with data pipeline orchestration tools like Airflow or similar solutions.
  • Experience designing and implementing end-to-end data solutions, from data ingestion to consumption.
  • Familiarity with cloud platforms (AWS, Azure, Snowflake) for data storage, processing, and services.
  • Understanding of web service protocols (REST, SOAP) and experience building data integrations.
  • Excellent problem-solving and analytical skills with a passion for building efficient data infrastructures.
  • Effective communication and collaboration skills to work effectively with cross-functional teams.
Education:
  • Bachelors / Master's of Engineering in Computer Science, Statistics, Mathematics, or a related technical field.
  • 8+ years of Software industry experience.


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