Urgent hiring for Big Data Engineer :: Phoenix, AZ (Hybrid Onsite)

[Hemant Patel]

Hi,

Hope you are doing well.

Please find below the details of an immediate requirement we are working on. 

Job Title: Big Data Engineer
Location: Phoenix, AZ (Hybrid Onsite)
Client: AMEX

IP : Impetus

Employment Type: Contract

EXP : 5-10 Years

Mandatory Skills : Spark, GCP & Hadoop

Note: Please share only local profile to AZ because their will be Face 2 Face Client interview at Phoenix, AZ

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Job Description:

We are seeking an experienced Big Data Engineer with strong expertise in Hadoop, Spark, and Google Cloud Platform (GCP). The ideal candidate will design, develop, and optimize large-scale data processing pipelines and analytical solutions on the cloud.

Responsibilities:

• Design and implement data pipelines and ETL processes using Spark, Hadoop, and GCP services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage).

• Work with structured and unstructured data from multiple sources and perform data cleansing, transformation, and aggregation.

• Collaborate with data scientists, analysts, and application teams to deliver scalable data solutions.

• Optimize data performance and ensure reliability, availability, and scalability of data systems.

• Implement data governance, quality, and security best practices.

• Troubleshoot performance and data quality issues in distributed systems.

Required Skills:

• 5+ years of experience in Big Data technologies.

• Strong hands-on experience with Hadoop ecosystem (HDFS, Hive, Pig, Sqoop, Oozie).

• Expertise in Apache Spark (Core, SQL, Streaming).

• Strong experience with GCP data services – BigQuery, Dataflow, Dataproc, Composer, Cloud Storage, Pub/Sub.

• Proficiency in Python/Scala/Java for data processing.

• Good knowledge of SQL and data modeling concepts.

• Familiarity with CI/CD, Git, and Cloud Deployment tools.

Nice to Have:

• Experience with Airflow, Terraform, or Dataform.

• Knowledge of Kafka or real-time streaming.

• Familiarity with Docker/Kubernetes.