- Experience: 8–10 years in Data Engineering and Data Analysis.
- Informatica Expertise: Strong hands-on experience in Informatica PowerCenter/IDQ for ETL design, development, and optimization.
- PySpark Development: Advanced skills in PySpark for large-scale data processing, transformation, and analytics.
- Hadoop Ecosystem: Solid working knowledge of Hadoop technologies (HDFS, Hive, Sqoop, MapReduce).
- Programming Skills: Proficiency in Python and Kafka for streaming and batch data pipelines.
- Database & Modeling: Strong understanding of database concepts, data design, data modeling, and ETL workflows.
- ETL Lifecycle: Experience in analyzing, designing, and coding ETL programs including data extraction, ingestion, quality checks, normalization, and loading.
- Agile Delivery: Hands-on experience with Agile methodology and Jira for project delivery.
- Client Interaction: Proven ability in client-facing roles with strong communication and leadership skills to coordinate across SDLC.
Senior Data Engineer (Informatica & PySpark)
- Preferred Skills:
- Exposure to AWS data components and analytics.
- Familiarity with machine learning models and AI concepts.
- Experience with data modeling tools such as Erwin.
Qualifications
- Master’s or Bachelor’s degree in Computer Science or related field.
- Strong problem-solving skills and ability to work in cross-functional teams.
