Managed Services -DPS- Data Analytics- Data Engineers -Senior Associate

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

A career in our Managed Services team will provide you an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology.

Our Analytics as a Service team will provide you with the opportunity to help organizations harness the power of their enterprise data/analytics solutions by optimizing the technology while driving innovation to increase business outcomes and though data insights. We assist our clients in capitalizing on technology improvements, implementing new capabilities and achieving operational insights by managing, maintaining and evolving their analytics platforms and ecosystems. We help our clients maximize the value of their investment focusing on continuous improvement of their analytics solutions such as Microsoft, Amazon Web Services and Google Cloud

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.
• Proven track record as an SME in chosen domain.
• Mentor Junior resources within the team, conduct KSS and lessons learnt.
• Flexible to work in stretch opportunities/assignments.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Ticket Quality and deliverables review.
• Status Reporting for the project.
• Adherence to SLAs, experience in incident management, change management and problem management.
• Review your work and that of others for quality, accuracy, and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments, and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.
• Demonstrate leadership capabilities by working with clients directly and leading the engagement.
• Work in a team environment that includes client interactions, workstream management, and cross-team collaboration.
• Good Team player. Take up cross competency work and contribute to COE activities.
• Escalation/Risk management.

Primary Skill: ETL/ELT, SQL, Informatica, Python

Secondary Skill: Azure/AWS/GCP, Talend, DataStage, etc.

Data Engineer:

• Should have minimum 6 years of Operate/Managed Services/Production Support Experience
• Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc.
• Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes.
• Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, SSRS, AWS, Azure, ADF, GCP, Snowflake, Spark, SQL, Python etc.
• Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.
• Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage.
• Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments.
• Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.
• Should have Strong communication, problem solving, quantitative and analytical abilities.

 

         Nice to have:

• Certifications in Cloud Technology is an added advantage.
• Experience in Visualization tools like Power BI, Tableau, Qlik, etc.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date