Python Developer

Only apply if you are available for immediate joining or currently serving a notice period and can join within 15 days or less. Do not call only WhatsApp messages are accepted. Please share your details along with your updated resume via WhatsApp at 9003993690 or email your resume to [email protected].

Job Title: Data Engineer (Python / Oracle)

We are looking for a Data Engineer with strong expertise in Python, Oracle Database, and data pipeline development.

Key Responsibilities:

• Design and develop scalable ETL/ELT data pipelines using Python
• Work with Oracle Database for SQL/PLSQL development and performance tuning
• Build and optimize data models for OLTP and OLAP systems
• Develop data integration solutions using tools like Airflow, Kafka, and PySpark
• Ensure data quality, validation, and governance standards
• Monitor and troubleshoot data pipelines and database performance
• Work in CI/CD environment using Git, Jenkins, and GitHub Actions

Required Skills:

• Programming & Scripting (Primary)

• Advanced Python (3.x) OOP, typing, async, performance profiling

• Familiarity with Python dataengineer libraries: pandas, pyarrow, sqlalchemy, cx_Oracle, oracledb,polars, duckdb

• Shell scripting (bash, PowerShell) for automation and orchestration

• Oracle Database Expertise (Primary)

• Oracle Database (11g/12c/19c/21c) administration basics

• SQL proficiency: complex queries, analytic functions, hierarchical queries, PL/SQL development

• Data modeling (ER, dimensional) and schema design for OLTP & OLAP

• Performance tuning: indexing, partitioning, optimizer hints, AWR/ASH analysis

• Oracle Data Pump, SQL*Loader, External Tables

• Data Integration & ETL (Primary)

• Design and implementation of ETL/ELT pipelines in Python (e.g., polars,pandas, pySpark, dbt)

• Knowledge of messaging/streaming (Kafka, RabbitMQ) for realtime ingestion

• Data orchestration platforms: Apache Airflow, Prefect, or Azure Data Factory

• Big Data & Distributed Processing (Secondary)

• Working knowledge of Apache Spark (PySpark) and its integration with Oracle

• Experience with cloudbased bigdata services (AWS EMR, Azure Synapse, GCP Dataproc)

• Cloud & DevOps (Secondary)

• Oracle Cloud Infrastructure (OCI) services: Autonomous DB, Object Storage, Functions

• Containerization (Docker) and orchestration (Kubernetes) for scalable pipelines

• CI/CD pipelines (Git, Jenkins, GitHub Actions) for automated testing and deployment

• InfrastructureasCode tools (Terraform, OCI Resource Manager)

• Data Quality & Governance (Primary)

• Implementing data validation, profiling, and cleansing in Python

• Familiarity with data lineage, metadata management, and catalog tools (Apache Atlas, Collibra)

• Understanding of GDPR, CCPA, and other dataprivacy regulations

• Testing & Monitoring (Primary)

• Unit & integration testing frameworks (pytest, unittest) for data pipelines

• Monitoring & alerting (Prometheus, Grafana, OCI Monitoring) of ETL jobs and database health

• Version Control & Collaboration (Secondary)

• Proficient with Git (branching, pullrequests, code reviews)

• Agile methodologies (Scrum/Kanban) and ticketing systems (Jira, Azure Boards)