CHENNAI · FULLTIME
AWS Data Engineer Lead
Softview Infotech
Chennai · onsite · Posted 29d ago
Sourced from
Not disclosed8–10 yrsfulltimeChennai
About a minute. You'll make an account on the way through.
agent · working
- Read this posting0.4s
- Found the form on Foundit · 14 questions to answer1.6s
- Decided the answers for all of them2.3s
- Tailor your résumé to this role
- Waiting for you
Section · 01
About this role
Position: AWS Data Engineer Lead
Experience: 8–10 Years
Location: Chennai, Bangalore
Key Skills: AWS Data Engineering, Databricks, PySpark, SQL
About The Role
We are seeking an experienced AWS Data Engineer Lead to drive the design and delivery of robust, scalable data engineering solutions on AWS. You'll lead a team building high-performance data pipelines, lakehouse architectures, and analytics platforms, while championing engineering excellence and cloud-native best practices.
Key Responsibilities
Experience: 8–10 Years
Location: Chennai, Bangalore
Key Skills: AWS Data Engineering, Databricks, PySpark, SQL
About The Role
We are seeking an experienced AWS Data Engineer Lead to drive the design and delivery of robust, scalable data engineering solutions on AWS. You'll lead a team building high-performance data pipelines, lakehouse architectures, and analytics platforms, while championing engineering excellence and cloud-native best practices.
Key Responsibilities
- Lead architecture and development of scalable data pipelines using AWS Glue, EMR, Lambda, and Step Functions
- Design and manage cloud-native data lakes using S3, Lake Formation, and Redshift
- Define engineering standards, review architecture decisions, and drive best practices across the team
- Build real-time and batch data processing solutions using Kinesis / Kafka, Spark, and Glue Streaming
- Partner with data architects and analytics teams to design efficient data models and pipelines
- Implement strong data governance, cataloging, and security controls (IAM, Lake Formation, KMS)
- Optimize infrastructure for performance, scalability, and cost using AWS best practices
- Set up monitoring, alerting, and observability (CloudWatch, CloudTrail)
- Mentor data engineers, lead code/design reviews, and manage sprint deliverables
- Evaluate and adopt new AWS data services to keep the platform modern and efficient
- Strong hands-on experience with AWS Glue, EMR, Redshift, S3, Lambda, Athena
- Proficiency in PySpark, SQL, and Python for large-scale ETL/ELT development
- Solid understanding of data lake / lakehouse design (Delta/Iceberg/Hudi a plus)
- Experience with data modeling and building scalable data warehouses
- Hands-on experience with CI/CD (CodePipeline/Jenkins) and Infrastructure-as-Code (Terraform/CloudFormation)
- Strong knowledge of AWS security and governance (IAM, Lake Formation, KMS)
- Proven experience leading engineering teams in an Agile delivery environment
- Excellent problem-solving, communication, and stakeholder management skills
- Experience with Kafka/Kinesis for real-time streaming pipelines
- Exposure to QuickSight or other BI/visualization tools
- Familiarity with Apache Iceberg / Hudi for open table formats
- AWS certifications: AWS Certified Data Analytics – Specialty, AWS Certified Solutions Architect
- Lead impactful, large-scale data initiatives on a modern AWS stack
- Collaborative, growth-oriented culture with strong technical mentorship
- Attractive compensation, flexible working arrangements, and career advancement opportunities
Sourced from foundit
Section · 02
Skills
Aws GlueAws LambdaJenkinsTerraformApache KafkaKMSaws kinesisaws iaminfrastructure as coderedshiftaws cloudformationAws EmrLake FormationAWS S3AWS AthenaAWS CodePipelinePysparkPythonSQL