Sr Data Engineer

Letitbex AI; Hyderabad; On-site; INR 1,200,000 - 1,600,000; Full time

Job summary

Letitbex AI, located in Hyderabad, is seeking an experienced Data Engineer to design, develop, and maintain data backend solutions. The ideal candidate has over 8 years of experience in AWS cloud technologies, particularly in data engineering. Responsibilities include building frameworks, coordinating with business teams, and ensuring data integrity while applying best practices.

Candidates should possess a Bachelor’s or Master’s degree in Computer Science and demonstrate proven skills in data transformations, AWS services, and ETL frameworks.

Qualifications

• 8+ years of experience in application design, development, and analysis.
• Experience in AWS Cloud Solutions, preferably in the retail industry.
• Proven ability to implement data transformations and manage ETL frameworks.

Responsibilities

• Design, develop, maintain, and enhance data backend including data warehouses.
• Coordinate closely with business teams for data integration.
• Build logic by reading data from AWS S3 and applying transformations using Python.

Skills

AWS Cloud Solutions

PySpark

AWS Glue

Data transformation

Data governance

Agile methodologies

Education

Bachelor’s or Master’s Degree in Computer Science

Tools

AWS

Snowflake

Talend Cloud ETL

Kafka

PowerBI

Job description

LetitbexAI is a fast-growing AI-driven technology company focused on building intelligent, scalable, and enterprise-grade solutions. We work at the intersection of AI, data engineering, cloud, and business transformation, helping organizations unlock real value from artificial intelligence.

Experience: 8+ Years

Notice Period: Can be considered up 15 Days

Job Description: Data Engineer

Responsibilities

• Sound working experience in AWS cloud tech stack and Snowflake
• Coordinate closely with the Business teams for data integration and alignment
• Design, Develop, Maintain, support, and enhance the business intelligence data backend, including data warehouse and datalakes
• Ability to assess the current environment, requirements and propose the Data Engineering Solutions
• Adapt quickly to change in requirements and be willing to work with different technologies if required
• Ability to build frameworks and pipelines using AWS PySpark and Glue
• Enhance various Extraction, Ingestion and Enriched Frameworks that are already built using PySpark and Glue
• Build the logic by reading the data from AWS S3 and apply the transformations using Python
• Understand the existing AWS Lambda, SNS and SQS Events
• Work with platform team in problem solving and troubleshooting activities
• Propose Standard and Best Practices by leveraging AWS Services
• Apply creative thinking to arrive at technical solutions that enhance business goals and align with corporate technology strategies
• Help Application teams in onboarding the feeds into the built-in frameworks
• Follow best design practices during the implementation of ETL Frameworks
• Develop prototypes, technical proof of concepts and code with various solutions and convert platform architecture blueprints to real life working artifacts

Qualifications

• Bachelor’s or Master’s Degree in Computer Science or equivalent experience
• At least 8 years of experience in application design, development and analysis
• Experience in AWS Cloud Solutions. Retail Industry experience preferred
• Implement data transformations and data structures for data warehouse and lake/repository
• Manage cloud and/or on-premises solutions for data transfer and storage
• Collaborate and work with data analysts in various functions to ensure that data meets their reporting and analysis needs
• Experience in creating Various ETL Frameworks in processing or extracting the data from cloud databases by using AWS Services leveraging Lambda, Glue, PySpark, Step Functions, SNS, SQS and Batch
• Proven ability to be a strategic thinker to drive the necessary ownership and data governance within the organization
• Ability to evaluate risks and provide business recommendations or solutions in a timely manner
• Ability to remain calm in high stress situations while navigating and leading during times of conflict
• Sound knowledge in various AWS Services
• Understand the existing Frameworks built in AWS PySpark and Glue
• Scan ETL Frameworks and propose optimizations and cost savings
• Work independently and take key decisions
• Comfortable interacting with stakeholders at all levels through Business and IT
• Express complex concepts effectively, both verbally and in writing to IT & Business partners
• Understand and experience working in an Agile environment
• Knowledge on Talend Cloud ETL, Kafka, Snowflake Cloud and PowerBI is addon
• Strong critical thinking, decision making, troubleshooting and problem‑solving skills