Data Architect

Overview

Experience: 10 - 15 years

Must-Haves :

- Programming: Python/Spark- Microsoft Fabric experience required minimum 1 year - Mandatory skills: Experience building and supporting EDW using Microsoft technologies – ADF, Synapse, Power BI, Microsoft Fabric - Monitoring and Optimizing pipelines, Data quality, CI/CD process within Fabric - Programming: Python/Spark ******************* Immediate to 20 days joiners only

Strict No-Nos :

Looking for an early joiner- Do not share the profile if the candidate doesn't have Microsoft fabric experience.

Nice to Haves :

- Good if the candidate has MS fabric certification- MS Fabric certificate

Additional Guidelines :

candidates who can join immediately (less than 15 - 20 days)

Interview Process: 3 rounds of interview

Responsibilities:

Architecting, designing, implementing, cloud data platform

Hands-on - implementing data platform, standing up POCs

Leading technical discussions and finalizing design on data quality, security, data ingestion, data transformation for cloud data platform

Developing data models, optimizing cloud storage solutions

Monitoring data pipeline performance and identifying bottleneck, optimizing queries and data structures to improve query response times, scaling data processing infrastructure to handle peak data loads

Ensure solution adheres to security and compliance regulations within the cloud environment

Working closely with data analysts, data scientists, infrastructure team and business stakeholders to understand data needs and requirements.

Requirements:

Bachelor's degree in Computer Science or a related field

Proven experience in data engineering

Mandatory skills: Experience building and supporting cloud platform using Microsoft technologies – ADF, Synapse, Power BI, Microsoft Fabric, Monitoring and Optimizing pipelines, Data quality, CI/CD process within Fabric

Programming: Python/Spark

Visualization – built or supported the built of reports and dashboard in PowerBI

Strong proficiency in SQL. Experience on relational databases (Azure SQL DB/MS SQL Server/Managed cloud databases)

Experience with data warehousing, data warehouse modelling and ETL processes

Familiarity with cloud-based data management platforms Snowflake, AWS Redshift or Databricks

Excellent problem-solving and analytical skills

Ability to work effectively in a collaborative team environment

Strong communication and interpersonal skills

Preferred Qualifications:

Master's degree in Computer Science or a related field

Certification in database administration or data engineering

Experience with big data technologies such as Hadoop or Spark

Knowledge of DevOps practices and tools

Job Types: Full-time, Permanent

Pay: ₹3,000,000.00 - ₹4,000,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Day shift

Supplemental Pay:

• Performance bonus

Experience:

• total work: 10 years (Required)

Work Location: In person