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Job Description & How to Apply Below
We are seeking a highly experienced and strategic ETL Developer with 5+ years of data engineering experience to join our growing data warehousing team.
Key Responsibilities 1. ETL Architecture & Pipeline Development- Design, build, and maintain complex end-to-end ETL mappings, workflows, and sessions using Informatica Power Center.
- Develop, optimize, and schedule Python automation scripts for data ingestion, processing, custom transformations, and system monitoring.
- Architect and scale data integration pipelines within the Hadoop ecosystem (Hive, HDFS, Spark, or Map Reduce) to handle massive datasets.
- Analyze and tune long-running Informatica workflows, complex SQL overrides, memory allocations, and session bottlenecks.
- Implement performance tuning strategies in relational databases (especially Teradata macro/stored procedures, volatile tables, primary indexes, and join strategies).
- Optimize big data storage formats and execution engine resources within Hadoop to maximize throughput.
Skills & Qualifications Technical Requirements
- ETL Expertise: 5+ years of core, hands‑on experience with Informatica Power Center (including advanced transformations, XML parsing, and SQ overrides).
- Programming:
Strong proficiency in Python for data engineering tasks, alongside advanced shell scripting (Unix/Linux) and SQL is a must. - Big Data Ecosystem: 3+ years of experience working with Hadoop platforms (HDFS, Hive, Impala, Sqoop).
- Relational Databases:
Advanced SQL skills. Teradata expertise (including BTEQ, Fast Load, Multi Load, TPT, and Volatile Tables) is an added advantage.
- Total
Experience:
Strictly 5+ years in Data Engineering, Data Warehousing, or ETL Development. - Domain Knowledge:
Prior experience in the Telecom Domain is highly preferred / good to have. - Education:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
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