Azure Senior Data Lead

Job Summary

Job Summary

We are looking for a highly skilled Senior Data Engineer to design, build, and maintain scalable data platforms that support analytics, reporting, and data science initiatives. The role requires deep hands-on expertise in** data engineering, cloud platforms, and big data technologies**, along with the ability to guide best practices and mentor junior engineers.

Key Responsibilities

Key Responsibilities

• Design, develop, and maintain scalable, reliable, and high-performance data pipelines

• Build and manage ETL/ELT workflows for structured and semi-structured data

• Develop data solutions using cloud-native services (Azure / AWS / GCP)

• Implement and optimize data models for analytics and reporting use cases

• Work with big data frameworks (Spark, Databricks) for large-scale data processing

• Ensure data quality, consistency, and integrity across systems

• Optimize data pipelines for performance, cost, and reliability

• Collaborate with Data Analysts, BI Developers, Data Scientists, and Product Teams

• Implement data governance, security, and access controls

• Support CI/CD pipelines and infrastructure automation

• Mentor junior team members and conduct code/design reviews

• Participate in Agile ceremonies and provide technical leadership

Skill Requirements

Required Skills & Experience

• 7+ years of hands-on experience in Data Engineering

• Strong expertise in SQL and at least one programming language (Python preferred)

• Hands-on experience with:

Big Data technologies (Spark, Databricks, Delta Lake)

• Cloud platforms (Azure/AWS/GCP)

• Experience working with:

Data warehouses (Snowflake, Synapse, Redshift, BigQuery, etc.)

• Data lakes and lakehouse architectures

• Strong understanding of:

Data modeling (star/snowflake schemas)

• Data warehousing and ETL/ELT concepts

• Experience with orchestration tools (Airflow, ADF, Prefect, etc.)

• Knowledge of version control (Git)and CI/CD pipelines

• Familiarity with DevOps/DataOps best practices

• Excellent problem-solving and debugging skills

Other Requirements

Nice to Have

• Experience with streaming technologies (Kafka, Event Hubs, Kinesis)

• Exposure to Power BI / Tableau / Looker (consumer perspective)

• Knowledge of data governance and metadata tools

• Experience with containerization (Docker, Kubernetes)

• Cloud certifications (Azure Data Engineer, AWS, GCP)

• Experience in regulated domains (Banking, Healthcare, Insurance)