Senior Data Engineer - Hyderabad

We are looking for Sr. Data Engineer in CriticalRiver, Hyderabad. Interested can share the updated resume.

Role

• Build & Maintain Data Pipelines: Design, develop, and maintain robust, scalable, and efficient ETL/ELT data pipelines.
• Implement Data Solutions: Implement data models and database solutions on modern cloud platforms like Snowflake, Google BigQuery, Amazon Redshift, and Databricks.
• Optimize Performance: Monitor, debug, and optimize data pipelines and queries to ensure high performance, reliability, and cost-effectiveness.
• Ensure Data Quality: Implement data quality checks, validation, and monitoring frameworks to ensure the accuracy and integrity of our data.
• Collaborate: Work in an agile environment with data scientists, analysts, and architects to understand data needs and deliver effective solutions.
• Automate & Deploy: Contribute to our CI/CD processes and utilize infrastructure-as-code principles for deploying data infrastructure.

Responsibilities

• Proven Experience: Strong track record as a Data Engineer, with hands-on experience building and managing data-intensive applications.
• Technical Proficiency: Expert-level skills in SQL and Python for data processing and pipeline development.
• Cloud Skills: Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure) and its data services.
• Modern Data Stack Experience: Practical experience with modern data warehouses or lakehouse platforms like Snowflake, BigQuery, Redshift, or Databricks.
• Data Fundamentals: Solid understanding of data modeling, data warehousing concepts, and database design.
• Version Control: Proficiency with Git and CI/CD best practices.

Preferred Qualifications

• International Client Experience: Proven experience working with international customers, especially in the US and European markets.
• IT Services Background: Previous experience at a Tier 1 or Tier 2 Indian IT services company is a strong plus.
• Data Transformation: Experience with data transformation tools like dbt is highly desirable.
• Workflow Orchestration: Hands-on experience with workflow orchestration tools such as Apache Airflow for managing complex data pipelines.
• Infrastructure as Code: Familiarity with tools like Terraform or CloudFormation.
• Streaming Data: Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis).
• Certifications: Relevant cloud data engineering certifications are a plus.