Data Systems Engineer (AWS, Snowflake, RedShift, Python, Scala, Hadoop, Spark, Kafka, Hive, API[...]

Comunidade Metodista; Indiana (PA); On-site; USD 110,000 - 150,000; Full time

Job summary

DBA Web Technologies is hiring a Data Systems Engineer in Charlotte, NC to design and implement data-driven solutions across an enterprise data lake. You will work with AWS, Snowflake, RedShift, and big data tools to ingest, transform, and migrate data from diverse sources.

The role emphasizes collaboration with PMs, engineers, data scientists, and analysts, and requires strong coding skills in Python/Scala/Java, plus experience with CI/CD and DevOps practices.

Qualifications

• Bachelor's degree in computer science or a related field; master's preferred.
• Experience with AWS, Glue, Lambda, EMR and Snowflake/RedShift.
• Proficient in Python, Scala or Java.
• Experience with Hadoop ecosystem and big data tools: Spark, Kafka, Hive, API handling.

Responsibilities

• Design, develop, test, and implement data-driven solutions to meet business requirements.
• Ingest data from multiple sources into an Enterprise Data Lake in a hybrid environment.
• Build and optimize end-to-end data pipelines for real-time and batch processing.
• Deploy application code and analytics models using CI/CD tools; support deployed data apps.
• Collaborate with PMs, engineers, data scientists, and reporting teams.
• Research open-source components and integrate them into the design.
• Communicate clearly with data providers, engineers, and analysts to align goals.

Skills

AWS

Glue

Lambda

EMR

Snowflake

RedShift

Python

Scala

Java

Hadoop

Spark

Kafka

Hive

API Handling

API Development

Data Pipeline Development

Data Migration

Oracle

SQL Server

Batch Data Pipelines

Agile

Education

Bachelor's degree in Computer Science

Master's degree preferred

Tools

Jenkins

GitHub

CI/CD

Job description

Data Systems Engineer (AWS, Snowflake, RedShift, Python, Scala, Hadoop, Spark, Kafka, Hive, API, Handling, API Development, Data Migration, Batch Data Pipelines) in Charlotte, NC job at DBA Web Technologies. Indiana.

Data Systems Engineer (AWS, Snowflake, RedShift, Python, Scala, Hadoop, Spark, Kafka, Hive, API, Handling, API Development, Data Migration, Batch Data Pipelines) in Charlotte, NC

API Development, AWS, AWS Lambda, Data Migration, Hadoop, Java, Oracle, Snowflake, SQL Server

Location: North Carolina

Job Function: Data Engineer

Date Of Job Posting: 08-19-2021

Data Systems Engineer (AWS, Snowflake, RedShift, Python, Scala, Hadoop, Spark, Kafka, Hive, API,Handling, API Development, Data Migration, Batch Data Pipelines) in Charlotte, NC

Position: Data Systems Engineer (AWS, Snowflake, RedShift, Python, Scala, Hadoop, Spark, Kafka, Hive, API,Handling, API Development, Data Migration, Batch Data Pipelines)

Location: Charlotte, NC

Duration: Full-Time ONSITEposition (no contracts, no corp to corp, no remote)

Salary: Excellent Compensation with benefits + 401K

SKILLS: AWS, Glue, Lambda, EMR, Snowflake, RedShift, Python, Scala, Java, Hadoop, Spark, Kafka, Hive, API Handling, API Development,Custom Data pipeline development,Data Migration, Oracle, SQL server, Batch Data Pipelines, Agile

THE OPPORTUNITY:

For one of our reputed client in Financial Space, we have an immediate need for a Data Systems Engineer to be based in Charlotte, North Carolina.

Our Ideal Data Systems Engineer will have skills emphasis on data management, data processing, and developing framework for scalable data infrastructure solutions to integrate with heterogeneous data sources. The candidate will work closely with Program Managers, Engineers, Data scientists, Reporting team and other key parts of the business to understand their data requirements and build appropriate systems and platform that meet or exceed those specific business functions. You must be willing to get into the details but also be able to step back and help us plan the strategic direction of our data management and reporting practices.

THE ROLE:

• Utilize multiple development languages/tools such as Java, Python, Scala and object-oriented approaches in building prototypes and evaluate results for effectiveness and feasibility.
• Design, develop, test, and implement data-driven solutions to meet business requirements, ability to quickly identify an opportunity and recommend possible technical solutions by working with third party vendors.
• Provide business analysis and develop ETL code to meet all technical specifications and business requirements according to the established architectural designs.
• Extracting business data from multiple structured and unstructured data sources, utilizing data pipeline to ingest data in Enterprise Data Lake - hybrid environment.
• Deploy application code and analytical models using CI/CD tools and techniques and provides support for deployed data applications and analytical models using Jenkins, GitHub.
• Willing to take ownership of pipeline and can communicate concisely and persuasively to varied audience including data provider, engineering, and analysts.
• Ability to research and assess open-source technologies and components to recommend and integrate into the design and implementation.

REQUIREMENTS:

• Bachelor's degree in computer science, information systems or relevant field of study.
• Master's degree preferred
• Experienced in Cloud Technologies: AWS, Glue, Lambda, EMR and Snowflake/RedShift database
• Must have related technical experience and specialist level knowledge of Python, Scala or Java
• Also should have experience with Hadoop ecosystem and Big Data technologies: Spark, AWS, Kafka, Hive, API Handling, CDH
• Experience in API Development and Handling Experience in Custom Data pipeline development (Cloud and in-house local) and migrate data from large-scale data environments - Oracle, SQL server with experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines.
• Demonstrated ability to work with team members and clients to assess needs, aid and resolve problems.
• Excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business partners.
• Partner with Development teams to ensure Coding standards are in alignment with DevOps practices with respect to Tools, Standards, and Security.
• Self-motivated and capable of delivering results with minimal ongoing direction. Ability to work in a fast-paced environment and manage multiple priorities in parallel.
• Automation mind-set - drive to continuously look for ways to automate existing processes.
• Experience working on Agile Scrum teams.