Assistant Manager

Job Overview
Job Title: Sr. Azure Data Engineer Level: ?

Hiring Location: Bangalore / Chennai Department/Group: Technology

Business Unit: Digital Services – CDO Travel Required: No

Salary Range: - Sub Process: Voice/Non-Voice: NA

Grade ? Reporting To: Data Engineering Lead

Key Skills And Responsibilities
We are seeking a Senior Data Engineer with a strong background in cloud-native data engineering, primarily on

Microsoft Azure, and familiarity with AWS and GCP. The ideal candidate will have deep expertise in building

scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering

automation.

This role will play a pivotal part in designing, developing, and optimizing data ingestion, transformation, and

governance frameworks, enabling real-time and batch data analytics across our data platform.

Key Responsibilities

• Design and implement scalable, robust, and secure data pipelines using:
• Azure Data Factory, Databricks, Synapse Analytics
• Azure Data Lake Gen2, Event Hub, Azure Functions
• Develop and maintain ETL/ELT processes for structured and unstructured data
• Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion
• Work with AWS Glue, S3, Redshift or GCP BigQuery, Dataflow as needed
• Optimize performance and cost across data workloads and cloud environments
• Establish and maintain data quality frameworks, observability tools, and monitoring dashboards
• Define and enforce data rules, validations, anomaly detection and reconciliation
• Implement data lineage and metadata tracking using Azure Purview
• Drive adoption of data cataloguing, profiling, and classification tools
• Collaborate with data stewards and compliance teams to ensure governance alignment
• Implement role-based access control (RBAC), data masking, encryption, and tokenization
• Responsible for technical design, coding, unit testing, test case documentation, and walkthroughs

for all assigned Azure related projects to support company business and operational needs.

• Ensures software developed follows the defined programming standards and follows the code /design review processes.
• Critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low level information to a general understanding, and distinguish user requests from the underlying true needs.
• Collaborate with developers and subject matter experts to establish the technical vision and analyse trade-offs between usability and performance needs.
• Mentor junior data engineers and contribute to technical best practices

Qualification & Experience Technical Skills:

• 4+ years in data engineering with at least 2+ years on Azure cloud platform
• Hands-on with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, Purview
• Proficiency in SQL, PySpark, Python, and data orchestration tools
• Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture
• Familiarity with Snowflake, BigQuery, Redshift, or AWS Glue
• Experience with data versioning and GitOps for data
• Working knowledge of data observability, lineage, cataloguing, data quality
• Exposure to privacy-enhancing techniques, access control, security auditing
• Exposure to machine learning use cases in data engineering pipelines, data quality, anomaly detection, and schema change detection
• Exposure to GenAI or agentic AI to Automate data cataloguing and metadata enrichment etc.
• Experience with NLP or LLMs in metadata extraction or data classification is a plus Soft Skills: -
• Strong problem-solving, communication, and stakeholder collaboration skills
• Ability to lead data initiatives and mentor team members
• Proactive in learning and adopting emerging technologies in data & AI Qualification: -
• Candidate must be BE/BTech/MCA with 4 to 8 years' experience in Data Engineering.

Personal Attributes/Traits

• Consultative
• Socially confident
• Achievement oriented
• Decisive and action oriented
• Creative
• Eager to learn
• Resilient Competencies
• Business Foresight
• Influencing Others
• Fostering Partnerships With Customers
• Managing Transformation
• Driving Excellence
• Leading Teams
• Working Across Boundaries