Lead I - Data Engineerings

5 - 7 Years
2 Openings
Noida

Role Proficiency:

This role requires proficiency in data pipeline development including coding and testing data pipelines for ingesting wrangling transforming and joining data from various sources. Must be skilled in ETL tools such as Informatica Glue Databricks and DataProc with coding expertise in Python PySpark and SQL. Works independently and has a deep understanding of data warehousing solutions including Snowflake BigQuery Lakehouse and Delta Lake. Capable of calculating costs and understanding performance issues related to data solutions.

Outcomes:

Measures of Outcomes:

Outputs Expected:

Code Development:

Documentation:

Configuration:

Testing:

Domain Relevance:

Project Management:

Defect Management:

Estimation:

Knowledge Management:

Release Management:

Design Contribution:

Customer Interface:

Team Management:

Certifications:

Skill Examples:

Knowledge Examples:

Knowledge Examples

Additional Comments:

Skills Cloud Platforms ( AWS, MS Azure, GC etc.) Containerization and Orchestration ( Docker, Kubernetes etc..) APIs - Change APIs to APIs development Data Pipeline construction using languages like Python, PySpark, and SQL Data Streaming (Kafka and Azure Event Hub etc..) Data Parsing ( Akka and MinIO etc..) Database Management ( SQL and NoSQL, including Clickhouse, PostgreSQL etc..) Agile Methodology ( Git, Jenkins, or Azure DevOps etc..) JS like Connectors/ framework for frontend/backend Collaboration and Communication

Aws Cloud,Azure Cloud,Docker,Kubernetes