• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 29th Dec 2025

•A bachelor’s degree in computer science, software engineering, data science, or a related field

•Strong proficiency in programming languages such as Python, Java, or Scala is essential for data engineering. Familiarity with SQL for working with databases

•Experience with big data processing frameworks like Apache Hadoop, Apache Spark, or Apache Flink is highly desirable.

•Proficiency in working with distributed file systems like HDFS or cloud storage platforms like Amazon S3 or Google Cloud Storage is desirable.

•ETL (Extract, Transform, Load): Strong understanding of ETL processes and tools. Experience with ETL tools such as Apache Airflow, Informatica, or Talend is advantageous.

•Database and Data Warehousing: Knowledge of relational databases like MySQL, PostgreSQL, or Oracle, as well as non-relational databases like MongoDB or Cassandra.

•Familiarity with data warehousing concepts and technologies like Amazon Redshift, Google BigQuery, or Snowflake is beneficial.

•Cloud Computing: Familiarity with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

•Experience with cloud-based data processing and storage services like AWS Glue, AWS EMR, or GCP Dataflow is advantageous