AWS Data Engineer at Lumiq

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS Cloud, Python, SQL, Spark, Batch Ingestion, Batch Processing, Postgres, MySQL, Oracle, Airflow, AWS Glue, Iceberg, Hudi, Kafka

Industry

Data Infrastructure and Analytics

Description

AWS Data Engineer Location: Noida 5 Days WFO Who we are: LUMIQ is the leading Data and Analytics company in the Financial Services and Insurance (FSI) industry. We are trusted by the world's largest FSIs, including insurers, banks, AMCs, and NBFCs, to address their data challenges. Our clients include 40+ enterprises with over $10B in deposits/AUM, collectively representing about 1B customers globally. Our expertise lies in creating next-gen data technology products to help FSI enterprises organize, manage, and effectively use data. We have consistently challenged the status quo, introducing many industry-firsts like the first enterprise data platform in Asia on cloud for a regulated entity. Founded in 2013, LUMIQ has now completed a decade of innovation, backed by Info Edge Ventures (a JV between Temasek Holdings of Singapore and Naukri) and US-based Season 2 Ventures. Our Culture: At LUMIQ, we strive to create a community of passionate data professionals who aim to transcend the usual corporate dynamics. We offer you the freedom to ideate, commit, and navigate your career trajectory at your own pace. Culture of ownership empowerment to drive outcomes. Our culture encourages 'Tech Poetry' combining creativity and technology to create solutions that revolutionize industry. We trust our people to manage their responsibilities with minimal policy constraints. Our team is composed of the industry's brightest minds, from PhDs and engineers to industry specialists from Banking, Insurance, NBFCs, AMCs, who will challenge and inspire you to reach new heights. Job Description: We are seeking a highly skilled AWS 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 AWS 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. Qualifications: Minimum 3 years experience as a Data Engineer with strong skills in AWS Cloud, Python, SQL, Spark, Batch Ingestion and Processing. Must Have Skills: Strong SQL querying skills Strong experience in Python and Spark. Strong experience in Batch Ingestion and Processing. Strong experience working on AWS Cloud platform. Experience with any Database (Postgres, MySQL, Oracle, etc.) Good to Have Skills: Airflow AWS Glue Iceberg, Hudi AWS Certifications Streaming and Kafka (For any future streaming use cases) What Do You Get: Opportunity to contribute to an entrepreneurial culture and exposure to the startup hustler culture. Competitive Salary Packages. Group Medical Policies. Equal Employment Opportunity. Maternity Leave. Opportunities for upskilling and exposure to the latest technologies. 100% Sponsorship for certification.

Responsibilities

Design and implement scalable data pipelines, ETL processes, and cloud-based data infrastructure for BFSI customers. Optimize data storage and security while collaborating with data scientists to ensure high-quality data availability.