Technical Lead (AWS Data Engineering Lead)

Must-Have Skills

Cloud & Data Engineering (AWS)

• Strong hands-on experience with:

  • Amazon S3 AWS Glue Athena Redshift

• Experience designing cloud-native data lakes and data warehouses

• Deep understanding of batch and streaming data pipelines

• Experience building scalable and fault-tolerant data workflows

SQL & Python (Mandatory)

• Strong expertise in SQL including:

  • Complex transformations and aggregations

  • Performance tuning and analytics queries

• Experience working with large-scale datasets in Redshift/Athena

• Strong Python programming skills for data engineering use cases

PySpark / Spark Processing

• Hands-on experience with Spark / PySpark

• Build reusable ETL components and utilities

• Strong understanding of:

  • Data modeling

  • Transformations

  • Performance optimization

Data Processing & Engineering

• Experience with distributed processing frameworks (Spark/PySpark)

• Handling structured semi-structured and unstructured data

• Expertise in:

  • Schema design

  • Partitioning

  • Query optimization

DevOps & Platform Engineering

• Experience with Infrastructure as Code (Terraform / CloudFormation)

• Hands-on experience in building CI/CD pipelines for data platforms

• Exposure to containerization (Docker ECS EKS)

Collaboration & Ownership

• Strong ownership mindset for:

  • Solution quality

  • Performance

  • Production stability

• Excellent communication and stakeholder collaboration skills

Good-to-Have Skills

• Experience with streaming technologies (Kinesis Kafka MSK)

• Exposure to Lakehouse architectures and modern data platforms

• Integration with BI and analytics tools

• Knowledge of:

  • Data governance

  • Data quality frameworks

  • Metadata management

• Familiarity with FinOps (cost optimization on AWS)

• Exposure to Marketing/Customer Data Platforms (CDP / MarTech)

• Experience working in Agile delivery models with global teams

Education Qualification

• Bachelors or masters degree in:

  • Computer Science

  • Information Systems

  • Data Engineering

  • or related field

Certifications

• Preferred:

  • AWS Certified Data Analytics

  • AWS Solutions Architect

(Any two preferred)

• Plus:

  • Databricks

  • Snowflake or other cloud data platform certifications