Data Platform Engineer – ETL,SQL,Python,Java,Scala,AWS

FinacPlus; Hyderabad; Remote; INR 2,500,000 - 4,200,000; Full time

Job summary

A leading software services provider is seeking a Data Platform Engineer to design and maintain a scalable data platform. Responsibilities include building ETL data pipelines and ensuring data quality while collaborating with cross-functional teams. Candidates should have over 5 years of experience, strong skills in data engineering, and proficiency in cloud technologies like AWS or Azure. This remote position requires USA shift timings and offers competitive compensation.

Qualifications

• At least 5 years of experience in data engineering or related roles.
• Proficient in Python, Java, or Scala.
• Strong analytical and problem-solving skills.
• Proficient in Python, Java or Scala; SQL and NoSQL databases are a must.
• Strong analytical and problem-solving skills; excellent communication and collaboration.

Responsibilities

• Build and maintain data pipelines for ETL processes.
• Ensure data quality and integrity across all data systems.
• Collaborate with cross-functional teams to deliver data solutions.
• Monitor and troubleshoot data platform issues.
• Stay up-to-date with latest data engineering technologies and trends.
• Automate data workflows and processes.
• Work with cloud platforms such as AWS or Azure.
• Collaborate with cross-functional teams to deliver data solutions.
• Provide technical support and guidance to team members.
• Continuously improve data platform performance and reliability.
• Develop and maintain data models and schemas.

Skills

Data engineering

Cloud technologies

Python

SQL

Java

Problem-solving

Collaboration

Education

Graduation in Computer Science or Data Science

Tools

AWS

Azure

Tableau

Spark

Kafka

Redshift

Vertica

Job description

We are looking to hire a skilled Data Platform Engineer to join the data platform team. The candidate will have a strong background in data engineering, cloud technologies and software development. You will be responsible for designing, building and maintaining a scalable data platform that supports the organization's data needs and work closely with analysts and other stakeholders to meet data needs.

Responsibilities

• Build and maintain data pipelines for ETL processes
• Ensure data quality and integrity across all data systems
• Collaborate with analysts and stakeholders to meet data needs
• Monitor and troubleshoot data platform issues
• Stay up-to-date with latest data engineering technologies and trends
• Automate data workflows and processes
• Work with cloud platforms such as AWS or Azure
• Collaborate with cross-functional teams to deliver data solutions
• Provide technical support and guidance to team members
• Continuously improve data platform performance and reliability
• Develop and maintain data models and schemas

Qualifications and experience

• Graduation with Computer science, Data Science, Software programming
• At least 5 years of experience in data engineering or related roles
• Experience with cloud platforms like AWS or Azure
• Proficient in Python, Java or Scala, Experience with SQL and NoSQL databases
• Strong analytical and problem-solving skills, Excellent communication and collaboration skills
• Ability to work independently and as part of a team
• Strong understanding of data architecture and data modeling.
• Knowledge of ETL processes and data integration techniques.
• Experience with AWS, Familiarity with Spark or Kafka, Familiarity with redshift
• Familiarity with Tableau, Familiarity with machine learning/AI, Familiarity with Vertica

Location: Work from home
Timings: USA Shift IST 5:30pm to 2:30am
Salary range: Best in Industry

We provide virtual business process services to various types of overseas clients, and this position is to be part of the team which provides software Services to client from E-commerce Platform from the USA