Senior Associate_Data Eng (SQL,Python & Pyspark)_Data and Analytics

About the Role

We are hiring sharp, handson Data Engineers to build scalable data solutions and drive performance across both traditional and cloudbased data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you.

What you will do

• Design and implement scalable data pipelines for batch and near realtime use cases in cloud environments

• Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses

• Develop efficient Python and PySpark scripts for largescale data processing and ETL workflows

• Create and maintain data models in Databricks , ensuring data quality and consistency

• Optimize queries and scripts over largescale datasets (TBs) with a focus on performance and costefficiency

• Implement data goverce and security best practices in cloud environments

• Collaborate across teams to translate business requirements into robust technical solutions

Mandatory skill sets

Must have knowledge, skills and experiences

• 5+ years of handson experience in Data Engineering

• Strong command over SQL , Python , and PySpark for data manipulation and analysis

• Deep experience with data warehousing concepts and implementation in cloud environments ( Azure / AWS )

• Proficiency in data modeling techniques for cloudbased systems ( Databricks , Snowflake )

• Solid understanding of ETL/ELT processes and best practices in cloud architectures

• Experience with dimensional modeling, star schemas, and data mart design

• Strong analytical thinking and problemsolving skills

Preferred skill sets

Good to have knowledge, skills and experiences

• Familiarity with data lake architectures and delta lake concepts

• Familiarity with Snowflake /Databricks Data Warehouse

• Knowledge of data warehouse migration strategies to cloud

• Experience with realtime data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)

• Exposure to data quality and data goverce tools and methodologies

• Understanding of data virtualization and federated query engines

• Understanding of performance optimization techniques for cloudbased data warehouses

• Apache Airflow Workflow orchestration and scheduling

• Certifications in Azure or AWS or Databricks

Years of experience required

Experience

• 5 8 years

Education qualification

• BE, B.Tech , ME, M,Tech , MBA, MCA (60% above )