AquaSoft - Lead Data Engineer - Python

1 month ago

Bangalore, Karnataka, India AQUASoft Full time

About Us :


AQUASoft is a software development company that specializes in creating custom-made products and software solutions for various clients, including Fortune 500 giants and medium-sized businesses.


Our team of highly skilled and experienced software engineers across two continents utilize the latest frameworks and state-of-the-art technologies to build robust, scalable, secure software solutions.

We are an equal opportunity employer.

We invest in people and our hiring process is solely based on qualifications, skillset, and business needs.

Responsibilities :

We are searching for new colleagues for full-time positions as Lead Data Engineer with experience in ELK, Kibana queries, analytics development, NoSQL queries, Elasticsearch indexing, Python programming.

Qualifications :


- Minimum of 5-8 years of hands-on experience.

- Strong experience with ELK and Elasticsearch indexing.

- Strong experience with Kibana queries, analytics development, NoSQL queries.

- Experience in Python programming.

- English language at an advanced level.

Key Responsibilities :


- Data Infrastructure Management : Oversee the design, implementation, and maintenance of our data infrastructure using the ELK stack (Elasticsearch, Logstash, Kibana).


- Elasticsearch Indexing : Develop and manage Elasticsearch indexes to ensure optimal performance and data retrieval.


- Kibana Queries and Analytics: Create and optimize Kibana queries for data visualization and analytics, providing actionable insights from complex data sets.


- NoSQL Query Development : Write and optimize NoSQL queries to support various data-driven applications.


- Python Programming : Utilize Python for data processing, ETL (Extract, Transform, Load) tasks, and automation of data workflows.


- Data Pipeline Development : Design and implement data pipelines to support real-time data ingestion and processing.


- Collaboration and Mentorship : Work closely with cross-functional teams, providing guidance and mentorship to junior data engineers.


- Performance Optimization : Continuously monitor and improve the performance, scalability, and reliability of data systems.

(ref:hirist.tech)

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