34 hadoop engineer jobs at 7 companies in Commerce, TX
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Hadoop PySpark Data Engineer
Charlotte or Jersey City or Newark or Plano
$82k-$127k/yrOnsiteFull Time
InfosysNYSE: INFY: Provides IT consulting, software development, and business outsourcing services.
Experience with Hadoop ecosystem (Cloudera), PySpark, Spark, Hive, Python, Unix shell scripting, Autosys/Airflow, SQL; Bachelor\u0002s or equivalent experience; ability to work across SDLC and travel/relocate as needed.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
10+ YOE10+ years Big Data engineering experience with PySpark, Kafka, Hadoop, Hive, Databricks/Delta Lake, SQL, and CI/CD tools; experience in global markets or regulatory workloads.
Globe LifeNYSE: GL: Provides life, accident, and health insurance products.
10+ YOE10+ years IT experience and 5+ years data engineering; hands-on AWS data services, advanced SQL, Python, Informatica, Hadoop/Spark, CloudFormation, and data pipeline design.
10+ YOE10+ years IT experience; 5+ years data engineering; AWS Redshift/RDS/Aurora; Python; Informatica; Hadoop/Spark; strong SQL; CloudFormation; SDLC/agile; Bachelor's degree.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's degree,4+ years software engineering experience,1+ year cloud experience; expertise with Hadoop/HBase/Kafka/NiFi and AWS; strong communication and production systems experience.
Cloudera, HBase, Kafka, NiFi, Hadoop, AWS EC2, AWS MSK, AWS Lambda, AWS Glue, AWS DocumentDB, DynamoDB, Microsoft Azure, Google Cloud
3+ YOEMid-level SRE with proficiency in Java, Python or Perl; experience with Linux, SDLC, observability tools (Prometheus, Grafana, ELK, OpenTelemetry) and cloud (AWS/Azure/GCP); strong communication and problem-solving; 3+ years preferred.
TeleWorld SolutionsKRX: 005930: Design, deployment, and optimization services for wireless network infrastructure.
7+ YOE7+ years in data science/analytics/engineering, 3-5 years deploying production ML systems, strong Python/R/SQL skills, cloud and big-data experience, ML and statistical expertise, strong communication.