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AWS Data Technical Specialist \- Glue, SQL, Python
Chennai, Tamil Nadu
Role: Analytics Engineer (AWS)
Summary: You will own the semantic modelling and governed metrics layer on AWS,
building robust modular transformations and facilitate analytics . You will
ensure trust in metrics, performance at scale, and effective stakeholder
enablement.
Key responsibilities
(schema, data, freshness), documentation, and incremental strategies.
contracts, change control); implement semantic layer (dbt Semantic
Layer/MetricFlow) and ensure consistency across BI.
RLS/column level security; optimise SPICE, query performance, and UX.
and accuracy; partner with Core Data Engineer on upstream contracts and SLAs.
promotion; automate model validation and BI artefact deployment.
Athena partitioning and file formats for efficient queries.
and maintain a catalogue of metrics/datasets in Glue Catalog.
Outcomes (first 60–90 days)
two business critical dashboards with RLS.
reduce dashboard query times via model and dataset tuning.
ownership.
Skills and experience
semantic data modelling and documentation. Clear understanding of ABAC on Data
products.
Redshift/Serverless and/or Athena; Glue Catalog integration.
architecture.
requirements translation.
Nice to have
Tableau/Power BI, Iceberg/Spectrum, Great Expectations.
(SageMaker Feature Store).
1\. Designing, implementing, and maintaining etl processes using amazon glue
2\. Writing complex sql queries for data extraction, transformation, and loading
3\. Developing python scripts to automate data processing tasks
4\. Creating and maintaining data pipelines for efficient data flow
5\. Collaborating with cross functional teams to understand data requirements and deliver effective solutions
6\. Troubleshooting and optimizing existing data processes for improved performance
7\. Ensuring data quality and integrity throughout the data lifecycle
1\. Proficiency in amazon glue for etl processes and data integration
2\. Strong sql skills for data querying and manipulation
3\. Advanced knowledge of python programming for data processing and automation
4\. Experience with data modeling, data warehousing, and data pipeline development
5\. Familiarity with cloud platforms like aws for deploying data solutions
6\. Analytical mindset with the ability to translate complex data requirements into technical solutions
7\. Strong problem\-solving skills and attention to detail
8\. Excellent communication and teamwork abilities to collaborate effectively with stakeholders
1\.AWS Certified Data Analytics � Specialty would be a plus
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