Developer
Apply NowCompany: Tata Consultancy Services
Location: Detroit, MI 48228
Description:
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.
- **3-5 years** of professional experience in data engineering or cloud infrastructure roles, with a focus on DataStage and cloud technologies.
Roles & Responsibilities
**Key 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- $110,000-$135,000 a year
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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.
- **3-5 years** of professional experience in data engineering or cloud infrastructure roles, with a focus on DataStage and cloud technologies.
Roles & Responsibilities
**Key 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- $110,000-$135,000 a year
#LI-CO1
#LI-SN1