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Developer

Tata Consultancy ServicesDetroit, MI, US

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3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows.
Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud.
Proven experience in platform and infrastructure engineering, particularly in cloud environments.
Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL).
Proficiency in programming languages such as Python, Java, or Shell scripting for data operations.
Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform).
Knowledge of data security, governance, and compliance best practices.
Strong troubleshooting, problem-solving, and analytical skills.
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks.
Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability.
Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization.
Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data).
Build and support data platforms by integrating tools and technologies across the data engineering stack.
Design and implement DevOps pipelines for automation of data operations in cloud environments.
Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle.
Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components.
Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions.

Datastage Platform Engineer

Must Have Technical / Functional Skills

3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows.

Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud.

Proven experience in platform and infrastructure engineering, particularly in cloud environments.

Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL).

Proficiency in programming languages such as Python, Java, or Shell scripting for data operations.

Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform).

Knowledge of data security, governance, and compliance best practices.

Strong troubleshooting, problem-solving, and analytical skills.

Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Roles & Responsibilities

Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks.

Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability.

Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization.

Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data).

Build and support data platforms by integrating tools and technologies across the data engineering stack.

Design and implement DevOps pipelines for automation of data operations in cloud environments.

Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle.

Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components.

Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions.

Salary Range- $100,000-$125,000 a year

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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Developer • Detroit, MI, US