Amlgo Labs - Data Engineer - ETL/Data Pipeline (6-9 yrs)

Amlgo Labs is looking for Data Engineer for the Gurgaon location, you can refer to the job details below and if interested please send your updated profile ASAP. As a passionate and flexible Data Engineer, you will work in our Technology Innovation Vertical providing data solutions for our businesses.

You will thrive in a fast-paced environment and draw on your collaborative and problem-solving skills to achieve optimal outcomes for your stakeholders in a space that is undergoing a large transformation.

You will think critically to understand and navigate business challenges and use your exceptional people skills to negotiate through ambiguity as you proactively identify and solve issues.

Company Description :

Amlgo Labs is an Advanced Analytics, Machine Learning/AI, and Big Data Solutions Implementation Company located in Gurugram and Delaware. We specialize in providing sustainable and reliable solutions to our clients, with a focus on improving businesses and providing insights for intelligent data-driven decisions.

We are recognized as a Top 10 Emerging Analytics Start-Up and Top 10 Data Analytics and RegTech Solutions Start-Up.

Exp : 6+ Years.

Key Responsibilities :

- Design and develop robust ETL pipelines using PySpark to process large-scale datasets efficiently.

- Expertise in Data Transformation using PySpark.

- Understanding of complex SQL queries in PL/SQL for data transformation and analysis.

- Basic knowledge of Trino for distributed SQL querying on large datasets across heterogeneous data sources.

- Good knowledge of AWS to ensuring scalability, security, and high availability.

- Basic Knowledge of PowerBi.

- Excellent communication skills.

- Collaborate with cross-functional teams to understand data requirements and translate them into actionable solutions.

- Leverage Trino for distributed SQL querying across heterogeneous data sources, optimizing for performance and cost-effectiveness.

- Deep understanding of AWS cloud services, including data storage (S3, Redshift), data processing (EMR, Glue), and data warehousing solutions.

- Ensure the scalability, security, and high availability of data pipelines and infrastructure.

- Basic knowledge of Power BI or similar data visualization tools for creating insightful dashboards and reports.

- Collaborate with data analysts and business users to understand data requirements and translate them into actionable insights.

- Effectively communicate complex technical concepts to both technical and non-technical audiences.