Senior Data Engineer

4 weeks ago


Hyderabad, Telangana, India NTT DATA Business Solutions Full time

A Senior Data Engineer plays a pivotal role in technology-driven organizations, responsible for designing, building, and managing the infrastructure and tools that enable efficient processing and analysis of large data sets.

Responsibilities:

Designing and Implementing ETL Processes:

Develop and maintain scalable data pipelines.

Create efficient Extract, Transform, Load (ETL) processes.

Collaborate with data scientists and business teams to improve data models.

Managing Data Warehousing Solutions:

Design and maintain data warehousing structures.

Optimize data storage and retrieval mechanisms.

Ensure data accuracy and consistency across various sources.

Deploying Machine Learning Models to Production:

Work closely with data science teams to deploy ML models.

Implement software and methodologies for data correction and reconciliation.

Foster data-driven decision-making across the organization.

Ensuring Data Quality and Consistency:

Validate data quality and integrity.

Expose and utilize tools for data quality checks.

Participate in data governance initiatives.

Preferred if one can have experience & knowledge on SAP system (SAP HANA, SAP Connectors)

Good to have an understanding of IAM (Identity access management)

Qualifications:

  • Education: A degree in computer science, information technology, or a related field is generally required.
  • Technical Skills:
  • Proficiency in programming languages such as Python, SQL, and optionally Java or Scala.
  • Experience with database management systems (DBMS) like MySQL, PostgreSQL, or NoSQL databases.
  • Familiarity with data warehousing structures (e.g., Apache Hadoop, Spark).
  • Exposure to cloud services (e.g., AWS, Azure, Google Cloud).
  • Knowledge of containerization tools (e.g., Docker, Kubernetes).
  • Experience:
  • 5+ years of hands-on data engineering experience.
  • Previous work on large-scale data processing and storage systems.
  • Exposure to big data technologies (e.g., Hadoop, Spark).
  • Soft Skills:
  • Strong problem-solving abilities.

Excellent communication and collaboration skills.


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