Posted:4 weeks ago|
Platform:
Remote
Contractual
🚫 Do NOT apply if:
Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.
Architect and implement scalable, fault-tolerant data pipelines using AWS Glue,
Lambda, EMR, Step Functions, and Redshift
● Build and optimize data lakes and data warehouses on Amazon S3, Redshift, and
Athena
● Develop Python-based ETL/ELT frameworks and reusable data transformation
modules
● Integrate multiple data sources (RDBMS, APIs, Kafka/Kinesis, SaaS systems) into
unified data models
● Lead efforts in data modeling, schema design, and partitioning strategies for
performance and cost optimization
● Drive data quality, observability, and lineage using AWS Data Catalog, Glue Data
Quality, or third-party tools
● Define and enforce data governance, security, and compliance best practices
(IAM policies, encryption, access control)
● Collaborate with cross-functional teams (Data Science, Analytics, Product,
DevOps) to support analytical and ML workloads
● Implement CI/CD pipelines for data workflows using AWS Code Pipeline, GitHub
Actions, or Cloud Build
● Provide technical leadership, code reviews, and mentoring to junior engineers
● Monitor data infrastructure performance, troubleshoot issues, and lead capacity
Planning
AWS
Python
SQL
Pyspark
Lambda,EMR
Glue
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