Data Engineer (Scalable Data Pipelines)

Hushh Technologies LLC.; Pune District; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Hushh Technologies LLC is an investment technology firm that combines artificial intelligence, quantitative research, and careful product design to improve how capital is analyzed and allocated. The team includes researchers, engineers, and investment professionals who care about durable systems and long-term value creation.

The responsibilities include designing and maintaining ETL pipelines for real-time financial data ingestion, ensuring data consistency, and optimizing data lakes for

Qualifications

• 3+ years of experience in data engineering with expertise in AWS, Kafka, and PostgreSQL.
• Strong programming skills in Python/Scala and SQL.
• Experience with big data tools like Spark or Snowflake.
• Attention to Detail: Prioritize data integrity and quality.
• Scalability: Ensure systems grow with the business.
• Collaboration: Work cross-functionally to meet team goals.

Responsibilities

• Design and maintain ETL pipelines for real-time financial data ingestion.
• Ensure data consistency, integrity, and accuracy across all systems.
• Optimize data lakes and warehouses for analytical workloads.

Skills

AWS

Kafka

PostgreSQL

Python

Scala

SQL

Attention to detail

Collaboration

Tools

Spark

Snowflake

Job description

Competitive

Full-time

About HushhTech

Hushh Technologies LLC is an investment technology firm that combines artificial intelligence, quantitative research, and careful product design to improve how capital is analyzed and allocated.

Our team includes researchers, engineers, and investment professionals who care about durable systems, clear thinking, and long-term value creation.

Responsibilities

• Design and maintain ETL pipelines for real-time financial data ingestion.
• Ensure data consistency, integrity, and accuracy across all systems.
• Optimize data lakes and warehouses for analytical workloads.

Skills, qualifications, and experience

• 3+ years of experience in data engineering with expertise in AWS, Kafka, and PostgreSQL.
• Strong programming skills in Python/Scala and SQL.
• Experience with big data tools like Spark or Snowflake.
• Attention to Detail: Prioritize data integrity and quality.
• Scalability: Ensure systems grow with the business.
• Collaboration: Work cross-functionally to meet team goals.