Career Opportunities: Associate - Business Information Management (7748)

Requisition ID 7748 - Posted  - Gurgaon, Tower B (Floor 11), CC

  Job Description Print Preview

Position Summary

This is the Requisition for Employee Referrals Campaign and JD is Generic.

We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise.

Job Responsibilities

• He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments.

• Technical Design and Development – Expertise in any of the following skills.

• Any ETL tools (Informatica, Talend, Matillion, Data Stage), and hosting technologies like the AWS stack (Redshift, EC2) is mandatory.

• Any BI tools among Tablau, Qlik & Power BI and MSTR.

• Informatica  MDM, Customer Data Management.

• Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must.

• Experience across Python, PySpark and Unix/Linux Shell Scripting.

• Project Management is must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan.

• Task Management – Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model.

• Handle Client Relationship – Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan. Should have excellent communication skills.

Education

Bachelor of Technology

Master's Equivalent - Engineering

Work Experience

Overall, 3- 7 years of relevant experience in Data Warehousing, Data management projects  with some experience in the Pharma domain.

We are hiring for following roles across Data management tech stacks - 

   Data Engineer - Advanced knowledge of PySpark ,python, pandas, numpy frameworks.
• Minimum 3 years of extensive experience in design, build and deployment of Spark/Pyspark - for data integration.
• Deep experience in developing data processing tasks using pySpark such as reading data from external sources, merge data, perform data enrichment and load in to       target data destinations
• Create Spark jobs for data transformation and aggregation

AWS Infra - 5-8 years of experience & should have hands-on experience working on strong expertise in AWS IAM, EKS (deep expertise), S3, EC2, and Cost Monitoring.

• Up-to-date with recent AWS service trends and best practices
• Kubernetes/EKS cluster setup, scaling, monitoring, troubleshooting & Karpenter implementation
• Experience with Terraform for infrastructure automation

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Requisition ID 7748 - Posted  - Gurgaon, Tower B (Floor 11), CC

Position Summary

This is the Requisition for Employee Referrals Campaign and JD is Generic.

We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise.

Job Responsibilities

• He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments.

• Technical Design and Development – Expertise in any of the following skills.

• Any ETL tools (Informatica, Talend, Matillion, Data Stage), and hosting technologies like the AWS stack (Redshift, EC2) is mandatory.

• Any BI tools among Tablau, Qlik & Power BI and MSTR.

• Informatica  MDM, Customer Data Management.

• Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must.

• Experience across Python, PySpark and Unix/Linux Shell Scripting.

• Project Management is must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan.

• Task Management – Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model.

• Handle Client Relationship – Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan. Should have excellent communication skills.

Education

Bachelor of Technology

Master's Equivalent - Engineering

Work Experience

Overall, 3- 7 years of relevant experience in Data Warehousing, Data management projects  with some experience in the Pharma domain.

We are hiring for following roles across Data management tech stacks - 

   Data Engineer - Advanced knowledge of PySpark ,python, pandas, numpy frameworks.
• Minimum 3 years of extensive experience in design, build and deployment of Spark/Pyspark - for data integration.
• Deep experience in developing data processing tasks using pySpark such as reading data from external sources, merge data, perform data enrichment and load in to       target data destinations
• Create Spark jobs for data transformation and aggregation

AWS Infra - 5-8 years of experience & should have hands-on experience working on strong expertise in AWS IAM, EKS (deep expertise), S3, EC2, and Cost Monitoring.

• Up-to-date with recent AWS service trends and best practices
• Kubernetes/EKS cluster setup, scaling, monitoring, troubleshooting & Karpenter implementation
• Experience with Terraform for infrastructure automation

Email this job to a friend

:  : The job has been sent to

The job has been sent to

Position Summary

This is the Requisition for Employee Referrals Campaign and JD is Generic.

We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise.

Job Responsibilities

• He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments.

• Technical Design and Development – Expertise in any of the following skills.

• Any ETL tools (Informatica, Talend, Matillion, Data Stage), and hosting technologies like the AWS stack (Redshift, EC2) is mandatory.

• Any BI tools among Tablau, Qlik & Power BI and MSTR.

• Informatica  MDM, Customer Data Management.

• Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must.

• Experience across Python, PySpark and Unix/Linux Shell Scripting.

• Project Management is must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan.

• Task Management – Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model.

• Handle Client Relationship – Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan. Should have excellent communication skills.

Education

Bachelor of Technology

Master's Equivalent - Engineering

Work Experience

Overall, 3- 7 years of relevant experience in Data Warehousing, Data management projects  with some experience in the Pharma domain.

We are hiring for following roles across Data management tech stacks - 

   Data Engineer - Advanced knowledge of PySpark ,python, pandas, numpy frameworks.
• Minimum 3 years of extensive experience in design, build and deployment of Spark/Pyspark - for data integration.
• Deep experience in developing data processing tasks using pySpark such as reading data from external sources, merge data, perform data enrichment and load in to       target data destinations
• Create Spark jobs for data transformation and aggregation

AWS Infra - 5-8 years of experience & should have hands-on experience working on strong expertise in AWS IAM, EKS (deep expertise), S3, EC2, and Cost Monitoring.

• Up-to-date with recent AWS service trends and best practices
• Kubernetes/EKS cluster setup, scaling, monitoring, troubleshooting & Karpenter implementation
• Experience with Terraform for infrastructure automation