Data Engineer, Finance Industry Experience

Overview

Hybrid
$60 - $75
Contract - W2
Contract - 9 Month(s)
50% Travel

Skills

Python
Databricks
Azure
Pyspark
SQL

Job Details

Data Engineer Job Description:

This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems.

Major Responsibilities:

  • Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.
  • Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.
  • Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
  • Proficient in developing programs in Python and SQL
  • Experience with Data warehouse Dimensional data modeling.
  • Working with event based/streaming technologies to ingest and process data.
  • Working with structured, semi structured and unstructured data.
  • Optimize Databricks jobs for performance and scalability to handle big data workloads.
  • Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.
  • Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.
  • Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.
  • Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

  • Overall 10+ years of IT experience
  • 5+ years Python coding experience.
  • 5+ years - SQL Server based development of large datasets
  • 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
  • Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.
  • Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
  • Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.
  • Experience with Cloud based data architectures, messaging, and analytics.
  • Cloud certification(s).
  • Any experience with Airflow is a Plus.

Education

  • Minimally a BA degree within an engineering and/or computer science discipline
  • Master s degree strongly preferred.