? Hiring: Senior Python & PySpark Data Engineer
? Location: Gurgaon — Local candidates only
? Experience: 5+ Years
? Relevant Experience: 5+ Years
? Shift: 2:00 PM – 11:00 PM IST

? Mandatory Skills
Python
PySpark
AWS Services
Shell Scripting / SQL

? Key Responsibilities & Requirements
Strong hands-on experience in Python and PySpark for application development, ETL processes, and Data Lake curation.
Build and develop PySpark applications using Spark DataFrames with tools such as Jupyter Notebook and PyCharm.
Optimize Spark jobs for large-scale datasets and high-volume workloads.
Hands-on experience with Git/version control.
Strong experience with AWS Analytics services such as Amazon EMR/EMR Serverless, Athena, and AWS Glue.
Experience with AWS Lambda, EC2, S3, SNS,



and related AWS services.
Valuable knowledge of Bash/Shell scripting and SQL.
Experience designing and developing ETL pipelines for CSV, TSV, XML, JSON, fixed-width, delimited, and multi-record file formats.
Strong understanding of Data Warehouse concepts, including Facts & Dimensions, Star Schema, and Snowflake Schema.
Minimum 4+ years of overall IT experience, with hands-on experience in Big Data technologies.

? Interested candidates can share their updated resumes with relevant experience, current location, notice period, and rate details.

To this Email - [email protected]

📌 Senior Python (Gurugram)
🏢 TECEZE
📍 Gurugram