Azure Data Analytics Lead

Tata Consultancy Services Limited
Bellevue, United States of America
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 104K

Job location

Bellevue, United States of America

Tech stack

Query Performance
Microsoft Excel
Data analysis
Azure
Databases
Data Cleansing
Information Engineering
Data Integration
ETL
Data Transformation
Data Warehousing
Monitoring of Systems
Data Intelligence
SQL Azure
Performance Tuning
Power BI
Kusto Query Language
SQL Stored Procedures
SQL Databases
SQL Server Integration Services
SQL Server Analysis Services
T-SQL
Parquet
Azure
System Availability
Spark
Data Management
Azure
Data Pipelines
Powerapps

Job description

Unified Analytics Platform: Work across Fabric workloads: COSMSO, Kusto, Data Factory (ETL), Synapse Data Engineering (Spark/SQL), Synapse Data Warehousing (SQL), and OneLake for storage.

Data Loading & Architecture: Design data loading patterns, Lakehouse architectures, and orchestration processes for enterprise-scale analytics.

Data Preparation & Enrichment: Prepare and enrich data for analysis, ensuring data quality and consistency checks.

Implement semantic models for BI and self-service analytics.

Security & Compliance: Secure and manage analytics assets, enforce governance policies, and monitor compliance and Managed Identity.

Performance & Optimization: Monitor and optimize Data pipelines and workloads for cost efficiency and high availability.

Collaboration & Stakeholder Engagement, Offshore team collaboration

Work closely with architects, analysts, and business teams to translate requirements into scalable solutions.

Enable Power BI integration for visualization and reporting.

Data Integration & Orchestration: Build and manage data pipelines using COSMOS, Azure Data Factory (ADF), Synapse, Fabric pipelines for batch and incremental ingestion. Automate ETL workflows and implement parameterized pipelines for scalability.

Data Transformation & Modelling: Develop ETL code / pipelines to clean, transform, and convert raw files into optimized formats (Parquet/Delta). Create views, stored procedures, and dimensional models for reporting and analytics.

Performance Optimization: Monitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks. Implement workload management strategies for query performance and resource governance.

Security & Governance: Apply role-based authentication, encryption/decryption logic, and compliance controls.

Automate governance tasks to reduce manual intervention.

Reliability & Monitoring: Build failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution.

Requirements

Synapse; SQL Server; Python; Azure Storage; ADF; Cosmos; Kusto; Digital: PySpark; Fabric; Data Engineering; Data Warehouse, Must have 10+ experience as a BI Developer

Strong in T-SQL, SSIS, SSAS and Power BI Reporting

Strong in DAX queries and DAX in Power BI data model.

Strong in Azure Data Services ADF, Azure SQL database, Synapse

Ability to understand vast amounts of data, identify and fix data issues.

Strong in database and DW concepts

Data insight generation, Data analysis and presentation

Strong reporting skills using Power BI, Power Apps & Excel

Design, deploy and build the BI solutions.

Excellent technical & analytical skills with strong business acumen

Strong communication skills

Must have Microsoft Azure Cloud and services experience.

Benefits & conditions

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

In order to comply with U.S. laws and regulations pertaining to this position, the person(s) hired must be a U.S. Citizen.

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