Job Title: Data Engineer
Experience Level: 4 - 6 years
Location: Hyderabad / Pune
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We are seeking an experienced AWS Data
Engineer with deep expertise in Banking, Financial Services, and Insurance systems. The candidate
must be familiar at least in one Data ware housing concepts
such as ODS/Marts and must have done at least one end-to-end
data processing pipeline designing.
He/she should be capable of handling the ETL design and
implementation solely and would work towards creating a
positive and innovation friendly environment. The incumbent
would be responsible for creating new capabilities.

Responsibilities

• Develop, maintain, and optimize data processing applications using Python and PySpark.

• Build scalable ETL/ELT pipelines to process large volumes of structured and unstructured data.

• Perform data extraction, cleansing, transformation, aggregation, and validation.

• Work with Apache Spark for distributed data processing and large-scale data transformations.





• Write complex SQL queries and optimize database operations.

• Develop reusable Python modules, functions, and libraries.

• Optimize Spark jobs by analyzing execution plans, partitioning, caching, and performance bottlenecks.

• Work with file formats such as CSV, JSON, Parquet.

• Integrate data from multiple sources, including databases, APIs, and cloud storage.

• Implement error handling, logging, monitoring, and data quality checks.

• Collaborate with data engineers, data architects, analysts, and business stakeholders.

• Follow coding standards, version control practices, and Agile development methodologies.

Requirements
Requirements

• Robust programming knowledge in Python, including functions, OOP, exception handling, and data structures.

• Hands-on experience with PySpark DataFrames, Spark SQL, transformations, and actions.

• Good understanding of Apache Spark architecture and distributed computing.

• Strong SQL skills, includi

📌 AWS Data Engineer (Hyderabad)
🏢 DataEconomy
📍 Hyderabad