*Role: Senior Data Engineer*

*Duration: 6 months*

*Location: Atlanta, GA*



*Interview Mode: Telephone/Skype*



*EDUCATION*: BS in Math, Computer Science, or related quantitative field,
or equivalent professional experience

*EXPERIENCE*:

·         Minimum one year’s experience in SAS programming

·         Minimum three years’ experience in OLTP system

·         Minimum three years’ experience in object-oriented programming in
Python

·         Minimum five years’ experience working with data structures, data
modeling

*Competencies/Skills:*

·         AWS Certification preferred

·         Base SAS, SAS EG, SAS XML Mapper, SAS Macros, SAS/ODS

·         AWS tools: API Gateway, Lambda, SQS, SNS, EC2, EMR, DynamoDB, S3,
and Kinesis

·         Developing on Linux platform, Cron, shell scripting

·         Experience with a version controlled environment (GitHub
preferred)

·         Excellent written, verbal and interpersonal communication skills



*MAJOR RESPONSIBILTIES/ACTIVITIES:*

·         Gathers and processes raw, structured, semi-structured, and
unstructured data, from internal and external data providers via databases
(PostgreSQL, DB2, Oracle, Microsoft SQL server), APIs, FTPs, and messaging
services, using batch and real-time data processing frameworks.

·         Develop object-oriented ETL jobs to transform data in relational
and NoSQL databases

·         Tune ETL performance and recommend on efficient I/O and resource
utilization

·         Provide end customers operation-related data and reports via
APIs, FTPs, and databases

·         Develop and manage OLTP system, with good understanding in a
transaction’s lifecycle from inventory, order placement, order validation,
order cancellation, order refund, order return, customer subscription,
remarketing, and etc.

·         Manage and enhance data models for OLTP system and data warehouse

·         Develop audit trail to track real-time status of a transaction

·         Build visualized ETL data pipeline in open source tools such as
Apache Airflow

·         Automate CI/CD workflow using framework such as serverless,
terraform, Jenkins, etc.

·         Ensures data quality and implements tools and frameworks for
automating the identification of data quality issues.

·         Establish best-practices for data engineer team, manage source
code control environment and SDLC, and QA procedure

·         Provide guidance on application architecture

·         Strong communication and customer engagement skills



 Thanks & Regards

Mounika

recrui...@nityainc.com/nitya.recruit...@gmail.com

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