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Azure + Databricks
Azure + DatabricksPwC India • Thiruvananthapuram, IN
Azure + Databricks

Azure + Databricks

PwC India • Thiruvananthapuram, IN
15 hours ago
Job description

Job Title : Azure + Databricks

Experience : 4 to 7 years

Location : Mumbai (only)

Job Summary :

As a Senior Associate, you will take ownership of designing and delivering complex data engineering solutions across cloud and on-premise environments. You’ll lead the technical delivery of ETL / ELT frameworks, data lakes, and data warehouses, leveraging Databricks, Azure, and modern data engineering best practices. You will also mentor junior team members and contribute to solution architecture.

Roles & Responsibilities :

  • Lead design and development of end-to-end data pipelines using PySpark, SQL, and Azure Databricks.
  • Build and optimize data lakes and data warehouse solutions.
  • Implement data ingestion, transformation, and orchestration using tools like Azure Data Factory or Apache Airflow.
  • Translate business requirements into technical specifications and ensure alignment with data strategy.
  • Conduct code reviews, performance tuning, and pipeline optimization.
  • Collaborate with cross-functional teams (data science, BI, and architecture) to enable advanced analytics.
  • Mentor Associates and support delivery excellence through documentation and process improvements.

Skills Required :

  • 4–7 years of experience in data engineering, with strong proficiency in PySpark, SQL, and Python.
  • Expertise in Azure (Data Factory, Databricks, Synapse, ADLS) or other cloud platforms.
  • Strong understanding of Data Warehouse, Data Lake, and ETL architecture.
  • Proficiency in query optimization, data modelling, and performance tuning.
  • Experience working with version control (Git) and CI / CD pipelines.
  • Exposure to data governance, security, and metadata management.
  • Knowledge of Snowflake, AWS Redshift, or BigQuery is a plus.
  • Strong communication and client-interaction skills.
  • Cloud certifications (Azure Data Engineer, Databricks) preferred.
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