Managed Services -DPS-Analytics & Insights aaS- Data Engineers -Specialist

Bengaluru (SDC) - Bagmane Tech Park

Nike

Inspiration und Support für alle Athlet:innen mit innovativen Produkten, Experiences und Services.

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Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Specialist

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 Managed Data, Analytics & Insights 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 through 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 Specialist, 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:

  • Conduct self in a professional manner and take responsibility for work and commitments.
  • Flex approach to meet the changing needs of teams and clients.
  • Identify and make suggestions for efficiencies and improvements when performing work.
  • Take action to stay current with new and evolving technology.
  • Use tools, techniques and firm standard methodologies to support research, analysis and problem solving.
  • Handle, manipulate and analyse data and information responsibly.
  • Communicate with empathy and adapt communication style to meet the needs of the situation and audience.
  • Manage expectations of stakeholders effectively.
  • Embrace different points of view and welcome opposing and conflicting ideas.
  • 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.

Role: Specialist

Tower: Data Analytics & Insights Managed Service

Experience: 1 - 3 years

Key Skills: Data Engineering

Educational Qualification: Bachelor's degree in computer science/IT or relevant field

Work Location: Bangalore, India

Position Requirements:

Required Skills:

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

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

Data Engineer:

  • Should have minimum 1 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.

Managed Services- Data, Analytics & Insights

At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. 

Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences.  Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes.  With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes.  PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment.  

Within our global, Managed Services platform, we provide Data, Analytics & Insights Managed Service where we focus more so on the evolution of our clients’ Data, Analytics, Insights and cloud portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective.  


As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work.  It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

March 25, 2024

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Azure Business Intelligence Computer Science Data Analytics Data pipelines Data warehouse DevOps ELT Engineering ETL GCP Google Cloud Hadoop Informatica ITIL Pipelines Power BI Privacy Python Qlik RDBMS Research Security Snowflake Spark SQL SSIS Tableau Talend

Perks/benefits: Career development Flex hours Team events Transparency

Region: Asia/Pacific
Country: India
Job stats:  3  0  0

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