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Data Engineer

2 months ago

Dallas, Texas, United States CapB InfoteK Full time
Job Title: Big Data Engineer

CapB InfoteK is seeking a highly skilled Big Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing efficient and scalable ETL processes using Hadoop.

Key Responsibilities:
  • Design and develop ETL processes using Hadoop to extract, transform, and load data from various sources.
  • Collaborate with cross-functional teams to identify business requirements and design technical solutions.
  • Develop and maintain batch processing jobs, address critical production issues, and communicate effectively with stakeholders.
  • Assess status risks in delivering solutions on time and provide recommendations.
  • Work independently and lead a team to achieve goals.
Requirements:
  • 3-8 years of hands-on experience with ETL in a Hadoop environment.
  • Knowledge of Hadoop ecosystem components like Hive, Impala, and Spark.
  • Strong expertise in working with relational databases such as Teradata, DB2, Oracle, and SQL Server.
  • Proficiency in writing shell scripts on Unix and experience with data warehousing and MPP database systems.
  • Understanding of data models and ability to analyze functional specifications.
  • Ability to write complex queries in Teradata, DB2, Oracle, and PL/SQL.
Preferred Qualifications:
  • Extensive experience in data analysis, data profiling, and root cause analysis.
  • Understanding of banking system processes and data flow.
  • Capable of working independently, leading, and mentoring a team.

CapB InfoteK offers a dynamic work environment, competitive compensation, and opportunities for growth and development. If you are a motivated and experienced Big Data Engineer looking for a new challenge, please submit your application.