HighPoints Technologies India

2 weeks ago


india HighPoints Technologies India (P) Ltd Full time

Here’s what you’ll do:

 Collaborate with data leads and platform engineering teams (frontend,

backend, and DevOps) to build data solutions that support cutting-edge

healthcare products.

 Develop robust batch and real-time data pipelines using advanced

frameworks on Google Cloud Platform.

 Leverage Python for data processing, including transfer, cleaning,

normalization, transformation, aggregation, and visualization.

 Design and implement scalable data sets, tables, and SQL queries to support

advanced analytics and machine learning models.

 Ensure high performance, reliability, and scalability across data pipelines

serving multiple customers, optimizing for efficiency at scale.

 Uphold the highest standards of data security and compliance, ensuring

continuous adherence to HIPAA, GDPR, and other regulatory frameworks.

What you’ll need to thrive in this role:

 Bachelor’s degree in Computer Science or a related field, or equivalent

practical experience.

 5+ years of experience in data engineering, with a focus on data warehouse

technologies.

 Expertise in Python and SQL, with the ability to build efficient and scalable

solutions.

 Proven experience with cloud platforms such as AWS or GCP.

 Familiarity with databases (RDBMS and NoSQL) and data warehouse tools

like BigQuery, Databricks, Snowflake, and Synapse.

 Proficiency with data pipeline tools such as Airflow, Fivetran, AWS Glue, or

Talend.

 Knowledge of dashboarding and visualization tools like Tableau, Power BI,

Looker, or similar.

 An understanding of Gen AI, Large Language Models (Gemini, Open AI), and

their role in data engineering.

 Experience with the Software Development Life Cycle (SDLC), DevOps, and

Agile methodologies.



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