2+ Teradata Jobs in Hyderabad | Teradata Job openings in Hyderabad

Overview:

We are seeking a talented and experienced GCP Data Engineer with strong expertise in Teradata, ETL, and Data Warehousing to join our team. As a key member of our Data Engineering team, you will play a critical role in developing and maintaining data pipelines, optimizing ETL processes, and managing large-scale data warehouses on the Google Cloud Platform (GCP).

Responsibilities:

• Design, implement, and maintain scalable ETL pipelines on GCP (Google Cloud Platform).
• Develop and manage data warehouse solutions using Teradata and cloud-based technologies (BigQuery, Cloud Storage, etc.).
• Build and optimize high-performance data pipelines for real-time and batch data processing.
• Integrate, transform, and load large datasets into GCP-based data lakes and data warehouses.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Write efficient, clean, and reusable code for ETL processes and data workflows.
• Ensure data quality, consistency, and integrity across all pipelines and storage solutions.
• Implement data governance practices and ensure security and compliance of data processes.
• Monitor and troubleshoot data pipeline performance and resolve issues proactively.
• Participate in the design and implementation of scalable data architectures using GCP services like BigQuery, Cloud Dataflow, and Cloud Pub/Sub.
• Optimize and automate data workflows for continuous improvement.
• Maintain up-to-date documentation of data pipeline architectures and processes.

Requirements:

Technical Skills:

• Google Cloud Platform (GCP): Extensive experience with BigQuery, Cloud Storage, Cloud Dataflow, and Cloud Composer.
• ETL Tools: Expertise in building ETL pipelines using tools such as Apache NiFi, Apache Beam, or custom Python-based scripts.
• Data Warehousing: Strong experience working with Teradata for data warehousing, including data modeling, schema design, and performance tuning.
• SQL: Advanced proficiency in SQL and relational databases, particularly in the context of Teradata and GCP environments.
• Programming: Proficient in Python, Java, or Scala for building and automating data processes.
• Data Architecture: Knowledge of best practices in designing scalable data architectures for both structured and unstructured data.

Experience:

• Proven experience as a Data Engineer, with a focus on building and managing ETL pipelines and data warehouse solutions.
• Hands-on experience in data modeling and working with complex, high-volume data in a cloud-based environment.
• Experience with data migration from on-premises to cloud environments (Teradata to GCP).
• Familiarity with Data Lake concepts and technologies.
• Experience with version control systems like Git and working in Agile environments.
• Knowledge of CI/CD and automation processes in data engineering.

Soft Skills:

• Strong problem-solving and troubleshooting skills.
• Excellent communication skills, both verbal and written, for interacting with technical and non-technical teams.
• Ability to work collaboratively in a fast-paced, cross-functional team environment.
• Strong attention to detail and ability to prioritize tasks.

Preferred Qualifications:

• Experience with other GCP tools such as Dataproc, Bigtable, Cloud Functions.
• Knowledge of Terraform or similar infrastructure-as-code tools for managing cloud resources.
• Familiarity with data governance frameworks and data privacy regulations.
• Certifications in Google Cloud or Teradata are a plus.

Benefits:

• Competitive salary and performance-based bonuses.
• Health, dental, and vision insurance.
• 401(k) with company matching.
• Paid time off and flexible work schedules.
• Opportunities for professional growth and development.