Lead Data Engineer

Principal Global Services

6 - 11 years

25 - 30 Lacs

pune

Posted:2 hours ago| Platform:

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Skills Required

continuous integration snowflake architecting cd python github aws iam glue bi ci/cd data architecture data engineering data collection sql kms amazon ec2 lambda expressions iam jenkins sns aws ci cd pipeline communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Responsibilities Job Description Looking for a highly skilled and experienced Lead Data Engineer to join our growing Data Analytics IT team
The ideal candidate will be responsible for expanding, optimizing, and meticulously maintaining our data pipeline architecture
This position involves working closely with cross functional teams, including data source teams, data consumers, SME s, to ensure smooth data flow, efficient data collection, and data product development
The focus will be on re-engineering our data architecture, ensuring it aligns with the organization architectural guiding principles and support our next-generation data initiatives
Roles and Responsibility Possesses 6-10 years of experience in developing and architecting with AWS, Snowflake data engineering solutions
Design, build and operationalize large scale enterprise data solutions and applications using AWS services like S3, Glue, Lambda, SNS, EC2, IAM KMS, and Snowflake (snowpipe, streams, tasks stored procedures) Should be able to collaborate with analytics partners to gather requirements, propose the best cloud solutions and implement them effectively
Follow established project execution processes, coding standards, and industry best practices
Should be aware about AWS, Snowflake and Data security principles
Get actively involved in Training, self-development knowledge sharing activities
Contribute actively to organization-level cloud initiatives
Problem solver with analytical thinking and ability to apply root cause analysis
Demonstrate a good learning attitude to quickly master new services/technologies and adapt to working both independently and collaboratively
Focus on continuously improving solutions and personal development
Possess excellent communication and collaboration skills, with the ability to communicate important and relevant information concisely and clearly
Qualifications Skills set: 6-10 years of experience in data engineering with 4-6 years in lead role
Proficiency in BI, Python, SQL, and working with relational databases
Proven experience in building and optimizing data pipelines, architectures, and data sets
Experience with CI/CD Pipelines in GitHub and Jenkins Strong communication and collaboration skills Must have Skills: Extensive experience with AWS services: S3, Glue, Lambda, SNS, EC2, IAM and KMS Proficiency in CI/CD Pipelines in GitHub, and Snowflake features like streams, tasks, stored procedures, snowpipe and data sharing

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