Software Engineering Manager

1 day ago


Hyderabad Secunderabad Telangana, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 20,00,000

Job Title: Senior Data Engineer

We are seeking a skilled and experienced Senior Data Engineer to join our team. As a key member of our data engineering group, you will design, develop, and maintain large-scale data systems that support our business operations.

This role involves working closely with cross-functional teams to gather requirements, design solutions, and implement technical architectures. You will also be responsible for ensuring the scalability, reliability, and performance of our data systems.

  • Data Pipeline Development: Design, implement, and optimize scalable data pipelines using Apache Beam or similar technologies.
  • Data Architecture: Collaborate with data architects to create and maintain a robust data architecture that meets business needs while ensuring data quality and integrity.
  • Database Management: Manage and optimize relational and non-relational databases, ensuring efficient data storage and retrieval.
  • Data Transformation: Develop and apply data transformation techniques to prepare data for analysis and reporting.
  • Collaboration with Teams: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and provide support for analytics initiatives.
  • Monitoring and Maintenance: Monitor existing data systems and pipelines for performance and reliability; troubleshoot and resolve issues as they arise.

Requirements:

  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Experience: Minimum of 5 years of experience in data engineering or related roles.

Technical Skills:

  • Proficient in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services (e.g., Redshift, BigQuery).
  • Familiarity with DataBricks, dbt, AirFlow, MuleSoft Anypoint Platform, Rest API.
  • Strong coding skills in programming languages such as Python, Java.

Benefits:

  • Opportunity to work on large-scale data engineering projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

Others:

  • Preferred Qualifications: Knowledge of data visualization tools (e.g., Tableau, Power BI), experience with machine learning concepts and frameworks, knowledge of modern data architecture patterns like data lakehouse, data mesh, or data fabric.


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