IN_Senior Associate_ Azure DE__Data and Analytics_Advisory_Remote&Hyd

Description

& Summary : -Design and Develop Data Pipelines : Build and optimize scalable ETL processes using PySpark or Scala or SparkSQL to handle large volumes of structured and unstructured data from diverse sources. -Cloud-Based Data Solutions : Implement data ingestion, processing, and storage solutions on the Azure cloud platform, utilizing services such as Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. -Data Modeling and Management : Develop and maintain data models, schemas, and metadata to ensure efficient data access, high query performance, and support for analytics requirements. -Pipeline Monitoring and Optimization : Monitor the performance of data pipelines, troubleshoot issues, and enhance workflows for scalability, reliability, and cost-efficiency. -Security and Compliance : Enforce data security protocols and compliance measures to safeguard sensitive information and meet regulatory standards.

Responsibilities :

• Experience : Proven track record as a Data Engineer with expertise in building and optimizing data pipelines using PySpark, SQL, and Apache Spark. -Cloud Proficiency : Hands-on experience with Azure cloud services, including Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database. -Programming Skills : Strong proficiency in Python ,PySpark, and SQL with experience in software development practices, version control systems, and CI / CD pipelines. -Data Warehousing Knowledge : Familiarity with data warehousing concepts, dimensional modeling, and relational databases such as SQL Server, PostgreSQL, and MySQL. -Big Data Technologies : Exposure to big data frameworks and tools like Hadoop, Hive, and HBase is a plus.

Mandatory skill sets :

Preferred skill sets :

Years of experience required :

Education qualification :

Education

Degrees / Field of Study required : Bachelor of TechnologyDegrees / Field of Study preferred :

Certifications

Required Skills

Microsoft Azure Cloud Services, Microsoft Azure Databricks

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

November 5, 2025