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Senior Data Engineer

2 months ago

Dallas, United States Coforge Full time

Job Title: Senior Data Engineer

Skills: SNOWFLAKE, DATA ANALYSIS, DATA MODELING

Experience: 8 to 10 Years

Location: Dallas, TX

Job Type: Full-time


We at Coforge are Senior Data Engineer with the following skillset:


  • A Senior Data Engineer is proficient in the development of all aspects of data processing including data warehouse architecture/modeling and ETL processing. The position focuses on development and delivery of analytical solutions using various tools including AWS Glue, Coalesce, Airflow, Snowflake and AWS.
  • Data Engineer must be able to work autonomously with little guidance or instruction to deliver business value.
  • Bachelor’s degree bachelor’s degree in computer science or MIS related area required or equivalent experience (industry experience substitutable).
  • 6-8 years of total experience in Data engineering/Cloud development activity.
  • 1+ years of experience in Banking and financial domain is Nice to have.
  • Must be extremely proficient in Data Warehouse ETL Design/Architecture, dimensional/relational data modeling.
  • Experience in at least one ETL development project, writing/analyzing complex stored procedures.
  • Entry-level to intermediate experience in Python/Py Spark – working knowledge on Spark/pandas data frame, Spark multi-threading, exception handling, familiarity with different boto3 libraries, data transformation and ingestion methods, ability to write UDF.
  • Familiarity with Snowflake – Familiarity with stages and external tables, commands in snowflake like copy, unload data to/from S3, working knowledge of variant data type, flattening nested structure through SQL, familiarity with marketplace integrations, role-based masking, pipes, data cloning, logs, user and role management is nice to have.
  • Familiarity with Coalesce/dbt is an added advantage for this job.
  • Collibra integration experience for Data Quality and Governance in ETL.
  • AWS – Should have hands-on experience with S3, Glue (jobs, triggers, workflow, catalog, connectors, crawlers), CloudWatch, RDS and Secrets Manager.
  • Knowledge of AWS VPC, IAM, Lambda, SNS, SQS, and MWAA is a plus.
  • Hands-on experience with version control tools like GitHub and working knowledge of configuring CI/CD pipelines using YAML and pip files.
  • Streaming Services – Familiarity with Confluent Kafka or Spark Streaming, or Kinesis (or equivalent) is nice to have.
  • Experience with Data Vault 2.0 (hubs, satellites, links) is a plus.
  • Highly proficient in Publisher, PowerPoint, SharePoint, Visio, Confluence and Azure DevOps.
  • Working knowledge of best practices in value-driven development (requirements management, prototyping, hypothesis-driven.