Data Engineer (AWS) Noida

Lumiq; Dadri; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Competitive Salary Packages

Group Medical Policies

Maternity Leave

Upskilling opportunities

Job summary

Lumiq is seeking a highly skilled Data Engineer to design, develop, and maintain cloud-based data infrastructure supporting BFSI customers. You will build robust data pipelines, optimize storage and processing in cloud environments, and ensure data security and compliance.

You will collaborate with data scientists to enable access to high-quality data for analytics. The role requires 3+ years of data engineering experience, strong SQL, and expertise in data marts, pipelines, and cloud platforms

Qualifications

• Minimum 3 years of experience as a Data Engineer with strong SQL and Data Marts.
• Experience with data pipelines, KPI transformations and data ingestion/transformation.
• Experience with DBT, Redshift, BigQuery, Snowflake, Airflow, Spark/PySpark is preferred.
• Bachelors in CS/Engineering; Masters preferred.
• Proven cloud data engineering experience, particularly AWS.

Responsibilities

• Design, develop, and implement data pipelines and ETL processes.
• Collaborate with cross-functional teams to design scalable data models and architectures for BFSI needs.
• Optimize storage, processing, and retrieval in cloud environments for performance and cost-efficiency.
• Ensure data security and compliance for BFSI data.
• Work with data scientists and analysts to provide high-quality data for analysis.
• Troubleshoot data issues to ensure data availability and reliability.
• Stay updated on cloud tech and BFSI data trends.

Skills

SQL

Data Marts

KPI transformations

Data pipelines

DBT

Redshift

BigQuery

Snowflake

Airflow

Spark

PySpark

Ingestion

Transformation

Python

Java

Data warehousing

AWS

Education

Bachelor's degree in computer science or engineering

Master's degree preferred

Tools

AWS

BigQuery

Hadoop

Job description

We are seeking a highly skilled Data Engineer to join our dynamic team. As a Data Engineer at LUMIQ, you will play a

crucial role in designing, developing, and maintaining our cloud-based data infrastructure to support our BFSI

customers. You will work at the intersection of cloud technologies, data engineering, and the BFSI domain to deliver

robust and scalable data solutions.

Key Responsibilities:

Design, develop, and implement data pipelines, ETL processes, and data integration solutions.

Collaborate with cross-functional teams to understand data requirements and design scalable data models and architectures that align with BFSI industry needs.

Optimize data storage, processing, and retrieval for maximum performance and cost-efficiency in cloud environments.

Implement data security and compliance measures to ensure the protection and integrity of sensitive BFSI data.

Work closely with data scientists and analysts to enable seamless access to high-quality data for analytical purposes.

Troubleshoot and resolve data-related issues, ensuring data availability and reliability for BFSI customers.

Stay updated on industry best practices, emerging cloud technologies, and trends in the BFSI sector to drive continuous improvement and innovation.

CRISP ANALYTICS PVT. LTD 9 th Floor, Noida One, Sector 62, NOIDA, UP, 201310, INDIA [e-mail]

Qualifications:

Minimum 3 years experience as a Data Engineer with strong skills in SQL and Data Marts.

Strong SQL querying skills

Strong experience and skills in Data Marts and complex KPI transformations and data pipelines

Skills and experience working on any of these - DBT, Redshift, Big query, Snowflake, Airflow

Experience and skills in Spark, Pyspark

Strong skills and experience in Ingestion and Transformation.

Bachelors degree in computer science, Engineering, or a related field. Master's degree preferred.

Proven experience in cloud data engineering, with expertise in platforms such as AWS.

Proficiency in programming languages like Python,Java, or spark for data processing and ETL operations.

Strong understanding of data warehousing concepts, data modeling, and database management systems.

Experience with big data technologies (e.g., Hadoop, Spark) and data processing frameworks.

Familiarity with BFSI industry data standards, compliance requirements, and security protocols.

Excellent problem-solving skills and the ability to work in a collaborative, cross-functional team environment.

What do you get:

• Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture.
• Competitive Salary Packages.
• Group Medical Policies.
• Maternity Leave.
• Opportunities for upskilling and exposure to the latest technologies.