Bengaluru, KarnatakaChennai, Tamil Nadu
Job Summary

Required Skills & Experience

5+ years' experience in Database and Data Engineering.
Strong expertise in SQL and database performance tuning.

Experience with AWS data services including:
Amazon Aurora PostgreSQL
AWS Glue
Amazon Redshift
AWS Quick
AWS DMS and Schema Conversion Tool (desirable)
Solid SQL and data modelling skills.
Proficiency in Python and/or PySpark
Experience building ETL/ELT pipelines and cloud-native data solutions.
Familiarity with Git, CI/CD, DevOps, and Agile delivery practices.
Understanding of data governance, security, and operational support.
Key Responsibilities

Key Responsibilities

Modernisation SQL Server databases to Amazon Aurora PostgreSQL.
Analyse and convert SSIS ETL workflows into AWS Glue jobs and workflows.
Migrate SSAS models and analytical workloads into Amazon Redshift.
Rebuild SSRS reports and dashboards using AWS Quick.
Design and develop scalable data ingestion, transformation, and reporting solutions.
Develop and optimise data models, schemas, and database performance.
Build and maintain CI/CD processes for database and data pipeline deployments.
Implement data quality, monitoring,



and operational support capabilities.
Collaborate with architects, developers, business stakeholders, and reporting teams to deliver migration outcomes.
Support testing, reconciliation, cutover, and post-production activities.
Skill Requirements

Language - Python, SQL
Data Technology - AWS Glue, Redshift, Athena, Iceberg, Flink, Kafka(understanding of Big Data Tech)
Cloud/Hosting - AWS, Understanding of Network design, AWS native services such as step functions
Data Pipelines - Airflow, DAta Ingestion, transformation, governance, semantic and physical Data Modeling
APIs & Microservices - RESTful services, automation scripts
DevOps - CI/CD (Jenkins, Git), Docker, Kubernetes, IAM Vault and Operations Mindset
Security & Compliance - Data goverance, risk management
Agile Delivery - Colaboration with squads and stakeholders

Other Requirements
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📌 Senior Technical Lead (India)
🏢 HCLTech
📍 India