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Senior Data Engineer

2 months ago

hyderabad, 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.