Job Title- Data Engineer/ ETL Developer
Experience- 3 plus years.
Location- Viman Nagar Pune.
Timings- 11 am- 8 pm.
Be part of AcquireX team that unleashes the power of leading-edge technologies to help improve e-commerce processes in the e-commerce world.We are looking for a
Data Engineer / ETL Developer to design and maintain robust data pipelines that power analytics, reporting, and operational workflows.
You will work with multiple data sources, vendors, and internal systems to ensure data accuracy, consistency, and availability.
Key Responsibilities
- Design, develop, and maintain ETL / ELT pipelines integrating data from multiple sources
- Transform, normalize, and unify data for analytics and business processes
- Work with PostgreSQL, MS SQL Server, and Redis/Oracle (ClickHouse is a plus*) for data storage and transformation
- Automate data ingestion via APIs, SFTP, file imports, and database connections
- Build and maintain internal data tools using SQL and Python
- Ensure high data quality by identifying duplicates, errors, and inconsistencies
- Document data pipelines, schemas, and integration processes
- Collaborate with analysts, engineers, and business teams
Requirements
- 3+ years of experience as a Data Engineer or ETL Developer
- Strong SQL skills (complex queries, joins, window functions, optimization)
- Hands-on experience with PostgreSQL, MS SQL Server, and Redis/Oracle ClickHouse(is good to have)
- Hands-on experience with Snowflake (including Snowpipe, virtual warehouses, and performance tuning)
- EDA (Exploratory Data Analysis)
- Experience with message brokers (Kafka, RabbitMQ, or similar)
- Proficiency in Python for data processing (pandas, SQLAlchemy, requests)
- Experience working with CSV, JSON, and XML data formats
- Understanding of data normalization and multi-source data integration
- Knows how to leverage AI tools to move fast.
- English proficiency: Intermediate+
Nice to Have
- Experience with e-commerce platforms or marketplaces
- Exposure to big data or distributed systems
- Experience with AI / ML data pipelines
