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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 14th Apr 2025

Design and implement reliable data pipelines to integrate disparate data sources into a single Data Lakehouse

Design and implement data quality pipelines to ensure data correctness and building trusted datasets

Design and implement a Data Lakehouse solution which accurately reflects business operations

Assist with data platform performance tuning and physical data model support including partitioning and compaction

Provide guidance in data visualizations and reporting efforts to ensure solutions are aligned to business objectives

The successful candidate will meet the following qualifications:

5+ years of experience as a Data Engineer designing and maintaining data pipeline architectures

5+ years of programming experience in Python and ANSI SQL

2+ years of development experience with DBT, Data Build Tool

Experience in various data modelling methods such as Star Schema, Snowflake, and Data Vault design

Experience in implementing a Data Lakehouse using a Medallion Architecture with Apache Iceberg on S3 Object Storage

Experience in various data integration patterns including ELT, Pub/Sub, and Change Data Capture

Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow Pytest, Scikit-Learn, and Boto3

Excellent communication skills with experience presenting complex concepts to technical and non-technical stakeholders

Experience in software development practices such as Design Principles and Patterns, Testing, Refactoring, CI/CD, and version control

Experience with Dremio, Apache Airflow, and Airbyte is preferred