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Iris Software
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Data - Lead

Data - Lead

Iris Software

5 - 8 years

7 - 10 Lacs

Noida India

Posted:1 week ago| Platform:

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Skills Required

python datastage data warehousing dimensional modeling etl ab initio snowflake oracle data analysis performance tuning bi sql spark programming tableau data modeling spark shell scripting oracle sql big data data integration reporting tools

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

1.Architect and design end to end data pipelines starting from Source systems to Data warehouse. 2.Lead the development of scalable Python- Spark based data processing workflows 3.Define and implement data modeling standards for DWH including fact/dimension schema and historical handling. 4.Oversee performance tuning of Python, Spark and ETL loads. 5.Ensure robust data integration with Tableau reporting by designing data structures optimized for Bl consumption. 6.Mentor junior engineers and drive engineering best practices. 7.Work loosely with business stakeholders, developers and product teams to align data initiatives with business goals, 8.Define SLAs, error handling, logging, monitoring and alerting mechanisms across pipelines.

Must Have:

1. Strong Oracle SQL expertise and deep oracle DWH experience. 2. Proficiency in Python and Spark with experience handling large scale data transformations. 3. Experience in building batch data pipelines and managing dependencies. 4. Solid understanding of data warehousing principles and dimensional modeling. 5. Experience working with reporting tools like Tableau. 6. Good to have experience in cloud-based DWHs (like Snowflake) for future- readiness.

Mandatory Competencies

ETL - ETL - Data Stage
Beh - Communication and collaboration
BI and Reporting Tools - BI and Reporting Tools - Tableau
QA/QE - QA Analytics - Data Analysis
Database - Database Programming - SQL
Big Data - Big Data - SPARK
Programming Language - Python - Python Shell
ETL - ETL - Ab Initio

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Data - Lead