Python Data & Automation Engineer (AWS_SQL_ETL / ELT Focused)Experience : 3 - 8 YearsLocation : Noida / Gurugram / Bangalore / PuneNotice Period : Immediate Joiner / Serving Notice PeriodEmployment Type : Full-timeRole Overview :We are looking for an experienced Python Data & Automation Engineer with a primary focus on data engineering, ETL/ELT pipelines, SQL, and process automation - not backend web development. In this role, you will be responsible for creating robust database connections, extracting data via internal and external APIs, running high-performance data transformations using Pandas and NumPy, and automating pipelines across on-premises and AWS cloud environments.Key Responsibilities :1. ETL/ELT & Data Pipelines :- Design, build, and optimize scalable ETL/ELT pipelines; automate the ingestion, cleansing, and validation of large structured and unstructured datasets.2. Data Processing & Analytics :- Build high-performance data manipulation, aggregation, and numerical computation routines using Pandas and NumPy.3. Database Connectivity & SQL :- Establish connections with relational and analytical databases using PyODBC and native connectors; write, tune, and optimize complex SQL queries, views, and stored procedures.4. API Integration & Automation :- Design and deploy automated extraction pipelines interacting with REST/SOAP APIs to eliminate manual reporting and batch processing.5.



Cloud & Up-to-date Data Platforms :- Integrate automated data workflows into AWS (specifically S3 and EC2) and cloud data warehouses like Snowflake.6. Legacy System Migration :- Support, integrate, and modernize legacy workflows, including migration touchpoints from SAS to modern Python pipelines.7. Version Control & CI/CD :- Utilize GitHub / Git for version control, code reviews, and pipeline automation.Technical Skills & Qualifications :Must-Have Skills :- Experience : 3 to 8 years of direct hands-on experience in data engineering, ETL/ELT pipeline development, and data automation (not pure backend web/Django frameworks).- Python for Data : Deep expertise in Python scripting with a primary focus on Pandas, NumPy, and automation utilities.- Database & Connectivity : Strong SQL proficiency along with hands-on experience using PyODBC or similar database drivers.- API Data Ingestion : Proven ability to extract and ingest data from RESTful APIs and web services.- Cloud & Tooling : Hands-on experience with AWS (especially S3, EC2) and version control using GitHub.Preferred / Good-to-Have Skills :- Snowflake : Hands-on experience with Snowflake querying, architecture, or data loading.- SAS Integration : Prior experience working with or migrating legacy SAS scripts into Python.- Workflow Scheduling : Familiarity with orchestration and scheduling tools like Apache Airflow or Cron. (ref:hirist.tech)

📌 Python Data & Automation Engineer (Noida)
🏢 Crescendo Global Leadership Hiring India
📍 Noida