Senior Data & Analytics Engineer

Blink Health Administration • India, TN

71d

About The Position

As a Senior Data & Analytics Engineer, you will be a key technical contributor who designs and builds both data infrastructure and analytics-ready data models. You will develop and maintain data pipelines and transformation layers that enable self-service analytics across the organization. You will partner closely with business stakeholders, analysts, and data scientists to understand requirements and translate them into scalable, well-modeled data products. You will design for data integrity, reliability, and performance while ensuring data is accessible, documented, and trustworthy for downstream consumers. You will contribute to code quality through adherence to standards and participation in peer code and architecture reviews.

Requirements

• 5+ years hands-on experience with Python software development for data pipelines and automation.
• SQL mastery including writing complex, highly-optimized queries and designing dimensional data models.
• Experience building and maintaining data transformation pipelines using tools like dbt, SQL, and Python.
• Experience building and maintaining data integration (ETL/ELT) pipelines using SQL, EMR, Python, and Spark.
• Experience working with columnar databases (e.g., Redshift, Snowflake) and optimizing for query performance.
• Experience with distributed data processing (Hadoop, Spark, Hive).
• Experience with ETL/ELT with batch (AWS Data Pipeline, Airflow) and streaming (Kinesis, Kafka).
• Experience designing semantic layers, metrics, and business logic for analytics consumption.
• Experience integrating with Business Intelligence tools (e.g., Looker, QuickSight, Tableau).
• Experience creating scalable, well-documented data models following dimensional modeling best practices.
• Experience with modern analytics engineering tools and practices (e.g., dbt, data modeling, testing frameworks, version control for analytics code).
• Strong understanding of data modeling concepts (star schema, dimensional modeling, slowly changing dimensions).
• Experience working with data lakes and contributing to automation and simplification improvements across the data ecosystem.
• Experience owning features from design through delivery along with ongoing support.
• Strong ability to communicate effectively with both technical and non-technical stakeholders.
• Experience mentoring junior engineers and analysts, and promoting best practices for data management, quality, and governance.
• Graduate degree in Computer Science, Information Systems, or related field.

Nice To Haves

• Experience with Healthcare-relevant company experience, with demonstrated industry knowledge of handling sensitive information.
• Experience using tools like Cursor/ChatGPT to speed up coding and testing, improve documentation, and raise code quality.

Responsibilities

• Design and build data infrastructure and analytics-ready data models.
• Develop and maintain data pipelines and transformation layers.
• Enable self-service analytics across the organization.
• Partner with business stakeholders, analysts, and data scientists to understand requirements.
• Translate requirements into scalable, well-modeled data products.
• Ensure data integrity, reliability, and performance.
• Document and ensure data accessibility for downstream consumers.
• Contribute to code quality through adherence to standards and participation in peer code and architecture reviews.

What This Job Offers

• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees