Description

You will design, develop, and maintain data pipelines supporting enterprise analytics and data migration.

Responsibilities

• Design, develop, and optimize ETL/ELT workflows for enterprise analytics and data migration.
• Build and maintain resilient big data architectures in cloud environments supporting large data volumes.
• Collaborate with data scientists, BI teams, and business analysts to translate requirements into scalable data solutions.
• Conduct data validation, reconciliation, and security assessments supporting compliance standards.
• Monitor data pipeline performance, troubleshoot issues, and optimize for reliability and security.

Required Skills

• 6+ years of experience with big data ecosystems supporting large-scale data pipelines.
• 6+ years experience with SQL (MySQL, PostgreSQL, Oracle) for data validation and performance tuning.
• 6+ years experience building ETL/ELT pipelines using Informatica, Talend, or similar tools.
• Expertise in big data tools: Apache Spark, Hadoop, and Hive for large data processing.
• Demonstrated ability to troubleshoot, optimize, and automate large data processes.
• Experience supporting data security policies, encryption, and compliance frameworks (GDPR, HIPAA).
• Familiarity with cloud data platforms like AWS (Glue, S3, Redshift), Azure, or GCP.
• Experience with relational databases including MySQL, Oracle, and PostgreSQL.

Preferred Skills

• Knowledge of NoSQL databases like MongoDB or Cassandra.
• Familiarity with Python or Scala for automation and data scripting.

Key Skills

Education

Any Gradute