Aws Data Engineer (noida + years )

Opening for AWS Data Engineer ,

Exp - 4+ years ,

Skills, Pyspark, Python, SQL, AWS, Airflow

Notice period - 15 days - 30 days

We are seeking a highly skilled Data Engineer to join our dynamic team. As a Data Engineer at 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.

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, Azure, or Google Cloud.
• 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.
• Equal Employment Opportunity.
• Maternity Leave.
• Opportunities for upskilling and exposure to the