Data Engineer

Role: Data Engineer

Location: Jersey City, NJ

Duration: 12 Months

Experience: 3 - 5 yrs.

W2 Role

Required Skills

Azure Synapse, Power BI, Data Warehouse, PySpark, Any RDBMS, SQL, Unix Scripting, GitHub

Preferred Skills

Any ETL tool, Kafka, Mongo, Cloudera Hadoop, Snowflake / Data bricks

Responsibility:

• Provide Business Intelligence (BI) and Data Warehousing (DW) solutions and support by leveraging project standards and leading analytics platforms.
• Define and build data integration processes to be used across the organization.
• Build conceptual and logical data models for stakeholders and management.
• Experience working with relational databases (RDBMS) like Oracle, MYSQL, MS SQL Server etc.
• Experience designing databases using ER data modeling tools like Embarcadero ER/Studio, ErWin etc.
• Proficient in Oracle PL/SQL and SQL Server T-SQL programming and tuning.
• Experience working on AWS, Azure and Google cloud platforms.
• Knowledge of Big Data technologies like Hadoop, Hive and Spark will be a plus.
• Knowledge of Unix and Python scripting for automation process.
• Proficiency in Linux and Windows environment.
• Troubleshooting skills, understanding of system's capacity, bottlenecks, basics of memory, CPU, OS, storage and networks.
• Familiarity and experience in different phases of software development life cycle.
• Good understanding of algorithms, data structures, performance optimization techniques, and object-oriented programming.
• Experience building complex Enterprise Apps that have been successfully delivered to customers.
• AWS Production support experience required:
• Advanced level knowledge with hands on experience in AWS cloud platform (EKS, EMR, S3, CloudWatch, Lamba, Microservices)
• Strong Hands-on with Splunk monitoring tool.
• Strong Hands-on with DataDog monitoring tool.
• Experience with implementing ETL/data solutions in AWS
• Experience with Production Support - Incident Management, communication with stakeholders
• Experience in working with onshore/off
• Experience in maintaining / managing current / newly implemented AWS environment.
• Explain what the current AWS environment, you are responsible for maintaining.
• Experience in creating new and maintaining data pipelines, Spark clusters.
• Experience in effecting changes to the cloud infrastructure or Snowflake.
• Explain experience in the following programming languages - Python, Scala, Java.

Thanks & Regards:

John

Marketing Manager

Nam Info Pvt LTD

1 732 993 5322 (D)

1 732 572 2611 (Fax)

John@nam-it.com Hangouts: johnnamit@gmail.com

www.nam-it.com