ETL Developer + Snowflake + Hadoop + Informatica
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, optimize, and maintain scalable ETL data pipelines using Hadoop ecosystem, Spark, and Informatica to support enterprise analytics and data warehousing.
Build and enhance batch and real-time data processing workflows aligned with governance, security, and compliance standards.
Automate data ingestion and transformation pipelines; perform monitoring, troubleshooting, performance tuning, and maintain data lineage and metadata management.
Minimum Requirements
4+ years experience in designing and developing large-scale data pipelines, preferably in cloud environments.
Hands-on expertise with Hadoop ecosystem components (HDFS, Hive, Pig, Sqoop), Spark (PySpark, Spark SQL, Spark Streaming), and ETL tools such as Informatica or Talend.
Strong programming skills in Python, Java, or Scala for data processing and automation.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Ideal Candidate Profile
Experienced in enterprise environments with integration of data across on-premise and cloud platforms including AWS, Azure, or GCP.
Capable of managing data quality, security, compliance, and governance in regulated industries such as finance or banking.
Proficient in automating infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation, Ansible) and CI/CD tools for operational efficiency.