bebo Technologies is a leading complete software solution provider.
bebo stands for 'be extension be offshore'. We are a business partner of QASource, inc. USA[www.QASource.com].
We offer outstanding services in the areas of software development, sustenance engineering, quality assurance and product support.
bebo is dedicated to provide high-caliber offshore software services and solutions.
Our goal is to 'Deliver in time-every time'.For more details visit our website: www.bebotechnologies.comLet's have a 360 tour of our bebo premises by clicking on below link:https://www.youtube.com/watch?v=S1Bgm07dPmMKey
Key Responsibilities
Assist in developing and maintaining data pipelines for ingesting and processing data from various sources
Write and optimize SQL queries for data extraction, transformation, and validation
Develop basic Python and PySpark scripts for data processing tasks
Work with structured and semi-structured data (e.g., CSV, JSON, Parquet)
Support integration of data from APIs and external data sources
Learn and follow data warehouse standards including naming conventions, data modeling basics, and data quality practices
Perform data validation, testing, and troubleshooting to ensure data accuracy
Required Skills & Qualifications
0-1 year of experience in Data Engineering or related field
Good knowledge in Python concepts
Strong understanding of SQL (joins, aggregations, subqueries)
Familiarity with PySpark or distributed data processing concepts
Understanding of core data engineering concepts (ETL/ELT, data pipelines, data lifecycle)
Basic knowledge of data warehouse principles and standards (star schema, normalization concepts)
Exposure to working with APIs (consuming REST APIs using Python)
Understanding of different data formats (CSV, JSON, etc.)
Nice to Have
Exposure to tools like Databricks, Snowflake, or any cloud platform (AWS/Azure/GCP)
Basic understanding of workflow orchestration tools (e.g., Airflow)
Knowledge of data visualization or BI tools