AWS Data Engineer

Pradeepit Global Consulting Private Limited; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Pradeepit Global Consulting Private Limited is seeking an AWS Data Engineer in Bengaluru to design, build, and maintain data pipelines on AWS. The role requires strong SQL knowledge and experience with datasets, data modeling, and governance across big data technologies.

You will work on data integration, storage, and analytics initiatives, collaborating with cross-functional teams to deliver scalable solutions and insights.

Qualifications

• End-to-end Data Engineering projects (2+).
• Experience with AWS Data Services, ETL, Data Quality and Governance.
• Proficiency in SQL and database design.

Responsibilities

• Design, build, and maintain data pipelines and storage on AWS.
• Leverage data for analytics and business insights.

Skills

AWS services

SQL proficiency

Databricks

Spark

Tools

Hadoop

Spark

Job description

AWS Data Engineer FAQ:

• 1. How many projects you have worked using on Spark, Hadoop or Big Data Technologies? and check percentage of team management v/s implemtation contribution?
• 2. How much experience you have specifically building ETL pipeline , Data Modeling and external systems to pull the data?
• 3. How much relevant experience you have on A WS services such as S3, Glue, EMR, Redshift, and Lambda?
• 4. Have you worked on SQL performance tuning? If answer is no then at least candidate show rate SQL knowledge better?

Skillset

Strong knowledge of AWS services such as S3, Glue, EMR, Redshift, and Lambda

Responsibilities: Job Description:

As an AWS Data Engineer, will be responsible for designing, building, and maintaining data pipelines and data storage solutions on Amazon Web Services (AWS). Your expertise will help us leverage data for critical business insights and analytics.

Primary Skills :

• Experience in implementing at least 2 end to end Data Engineering projects
• 4 to 7 years experience in AWS Data Engineering AWS Data Services, ETL Processes , Data Quality and Governance, Collaboration, Big Data Technologies Strong knowledge of AWS services such as S3, Glue, EMR, Redshift, and Lambda . Proficiency in SQL and database design. Experience with big data technologies like Hadoop and Spark . Minimum 3 years for experience in databricks.

Secondary Skills:

• Data Modeling
• Data Security and Compliance
• Automation
• AWS Certified Data Analytics or AWS Certified Data Specialty certification
• Excellent problem-solving and troubleshooting skills.
• Strong communication and teamwork skills.

Desirable skills

• Good ability to anticipate issues and formulate remedial actions.
• Sound interpersonal and teamwork skills.
• Sound Knowledge of unit testing methodologies and frameworks