AWS Data Engineer

Qtsolv; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Qtsolv in Hyderabad is seeking a Data Engineer with strong AWS, PySpark, and Snowflake expertise to design, build, and optimize data pipelines for a robust data backend.

You will work with business teams to ensure data integration and governance, develop ETL frameworks using AWS services, Glue, and PySpark, and transform data from S3 into data warehouses and lakes. Experience with GCP and PowerBI is a plus.

Qualifications

• Bachelor's or Master's degree in Computer Science or equivalent experience.
• 3+ years of experience in application design, development and analysis.
• Experience in AWS Cloud Solutions & GCP; retail industry experience is a plus.
• Experience implementing data transformations for data warehouse and data lake/repository.
• Experience managing cloud and/or on-premises data transfer and storage.

Responsibilities

• Design,Develop, Maintain, support, and enhance the BI data backend including data warehouse and datalakes.
• Coordinate closely with Business teams for data integration and alignment.
• Develop ETL frameworks using AWS, PySpark, Glue and Spark-based processing.
• Propose standard and best practices leveraging AWS services.
• Prototype concepts and convert platform blueprints into working artifacts.

Skills

Data engineering

AWS cloud

PySpark

GCP

Data governance

Agile methodologies

Stakeholder communication

Problem solving

Education

Bachelor's or Master's Degree in Computer Science or equivalent experience

Tools

AWS Glue

Lambda

SNS

SQS

Step Functions

Batch

Talend Cloud ETL

Kafka

Snowflake

PowerBI

Job description

• Data Engineer with strong expertise in AWS, PySpark, and Snowflake
• 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
• Able to enhance various Extraction, Ingestion and Enriched Frameworks that are already built using PySpark and Glue
• Able to build the logic by reading the data from AWS S3 and apply the transformations using Python and GCP
• Able to understand the existing AWS Lambda, SNS and SQS Events
• Able to work with platform team in problem solving and troubleshooting activities.
• Propose Standard and Best Practices by leveraging AWS Services
• Apply creative thinking/approach to arrive at technical solutions that enhance business goals and align with corporate technology strategies.
• Help Application teams in onboarding the feeds in to the built-in frameworks
• Make sure to 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

Qualification:

• Bachelor's or Master's Degree in Computer Science or equivalent experience
• At least 3+yrs years of experience in application design, development and analysis
• Experience in AWS Cloud Solutions & GCP. 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.
• Process data using spark (PySpark)
• 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 by 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 / solutions in a timely manner
• Ability to remain calm in high stress situations while navigating and leading during times of conflict
• Should have sound knowledge in various AWS Services
• Able to understand the existing Frameworks built in AWS PySpark and Glue
• Able to scan ETL Frameworks and propose optimizations and cost savings.
• Able to work independently and able to take key decisions.
• Comfortable interacting with stakeholders at all levels through Business and IT.
• Ability to express complex concepts effectively, both verbally and in writing to IT & Business partners
• Understanding of and experience working in an Agile environment
• Knowledge on Talend Cloud ETL,Kafka, Snowflake Cloud and PowerBI is addon
• Independent. Strong critical thinking, decision making, troubleshooting and problem-solving skills.
• Go-Getter. Possesses strong, planning, execution and multitasking skills and demonstrated ability to reprioritize accordingly. Must be able to manage quickly changing priorities while meeting deadlines.