IMPORTANT NOTE FOR ALL HIRING MANAGERS / INTERVIEWERS

Equal Opportunities / Non-Discrimination /GDPR

TATA Consultancy Services is committed to ensuring that ALL current and prospective employees have equal opportunities and that discrimination is eliminated.

Discrimination includes the failure to recruit, select, promote and treat all current and prospective employees in the same way, irrespective of the list below. Disciplinary action, including possible dismissal, will be taken against any employee who discriminates against others on the grounds of any of the items listed below.

Illegal Interview Questions

TCS does not discriminate against any person on the basis of - and interviewers should not ask any questions or make comments about – anything related to any of the following, because to not hire a candidate because of any one of them is discriminatory:

- Race
- Colour
- Creed
- Gender
- Sexual orientation
- Religion
- National origin
- Birthplace
- Age
- Disability
- Marital/family status

Tips & examples of what not to ask/write when interviewing or writing job specs

- Avoid specifying a requirement for a particular number of years' experience in a certain area, as this indirectly relates to the candidate's age – write/state, for example "robust experience with" or "experience of at least 2 large implementation projects"

- If there is a specific language requirement for a role, avoid specifying a need for a "native speaker", as this directly relates to the candidate's nationality – instead, ask for a "fluent speaker" or whatever level of fluency you desire.

- If there is travel involved in the role, try to assess the candidate's willingness for this without asking details of their personal life/home situation including wife, children etc

Additional Interview Tips

If you have CVs of persons (electronic or paper copy) who have already been made an offer, those that did not make the cut or those that were not considered for a position – Delete/destroy all of these CVs anywhere where they are stored, including emails.

Share relevant CVs of potential candidates with a limited number of persons who need to see the CVs for selection and recruitment

Scheduling an interview

It is uncommon in the UK for interviewers to contact candidates directly and/or at unscheduled times without co-ordinating this through the recruiter, and some candidates may not appreciate it, particularly if they are in a role and you have contacted them during working hours without prior arrangement.

If you wish to arrange an interview with a candidate, telephone or F2F, this should be co-ordinated and scheduled for a specific date & time via your UK&I; Talent Acquisition Group (TAG) contact, unless otherwise agreed with the TAG team.

Punctuality

Candidates in the UK expect interviews to be punctual.





In the same way that it would not be acceptable for a candidate to arrive at a face-to-face interview late, you should also not be late for your interviews.

If you have a telephone interview scheduled with a candidate for a specific time, please make sure you call at the exact time specified. Calling either early or late will look unprofessional and may leave a bad impression of TCS on the candidate, possibly even to the extent where they are no longer interested in the position.

Occasionally delays cannot be avoided, particularly if you are working on client site, but this should not be a regular occurrence and you should endeavour to make every effort to get the message to the candidate beforehand if you are likely to be late.

Feedback

Interviewers should not contact candidates directly with interview feedback. Any feedback, whether positive or negative, should be given via your TAG contact. Ensure Interview forms are fully and accurately completed and sent to TAG as soon as interviews are over.

Limit questions to seek information to what is relevant for the role that the candidate is being considered for and the stage in the selection process. (Some questions may be relevant to only shortlisted or selected candidates, ask these at the relevant stage).

Rationale for any decision in the entire process needs to be clearly and accurately recorded, shared with TAG, and be reproducible

Salary negotiations & onboarding/offer process The onboarding/offer process and the negotiation of rates/salary should be done by your TAG contact. Please do not offer the position, or indicate an intention to offer, verbally or otherwise, to any candidate during the interview, as there may be legal repercussions if for any reason we are unable to proceed.

Client Name:

Lloyds Banking Group

Job Title:

GCP Senior Data Engineer

WON/SWON

XXXXXX

Reporting to:

238656

Location:

Offshore (Chennai / Delhi / Hyderabad)

Department/Practice:

Enterprise Data

Job Purpose and primary objectives:

BigData Developer

Key responsibilities (please specify if the position is an individual one or part of a team):

The role requires a hands-on technologist with expertise in Data Engineering with strong programming background in Hadoop/Hive/Sparks/Scala

Should have hands-on knowledge on GCP cloud platforms.

Role & Responsibilities:

- Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modelling, data processing, design and implementation




- Lead a team to deliver high quality solutions on GCP Cloud. Manage functional & non-functional scope and quality.
- Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality
- Participate in workshops with clients and align client stakeholders to optimal solutions.

- Supervisory / Managerial responsibilities (please specify if the position will have persons reporting to it):

- Provide technical leadership and hands-on implementation role in the areas of data engineering including data ingestion, data access, modelling, data processing, design and implementation
- Lead a team to deliver high quality solutions on GCP Cloud.
- Participate in workshops with clients and align client stakeholders to optimal solutions.

- Other responsibilities – Budgets, targets, equipment etc (please specify):

None

Key Skills/Knowledge:

- Mandatory Experience and Competencies:
- Mandatory to have knowledge of Big Data Architecture Patterns and experience in delivery of BigData and Hadoop Ecosystems.
- Should have experience in SQL/Data Warehouse
- Expert in programming languages like Java, Hadoop, Scala
- Expert in at least one distributed data processing frameworks: like Spark (Core, Streaming , SQL), Storm or Flink etc.
- Should have worked on any of Orchestration tools – Oozie , Airflow , Ctr-M or similar, Kubernetes.
- Worked on Performance Tuning, Optimization and Data security
- Preferred Experience and Knowledge:
- Excellent understanding of data technologies landscape / ecosystem.
- Good Exposure in development with CI / CD pipelines. Knowledge of containerization, orchestration and Kubernetes engine would be an added advantage.
- Well versed with pros and cons of various database technologies like Relational, BigQuery, Columnar databases, NOSQL
- Exposure in data governance, catalog, lineage and associated tools would be an added advantage.
- Well versed with SaaS, PaaS and IaaS concepts and can drive clients to a decisions
- Certification in at least one of the cloud platforms (GCP/AWS/Azure)

Experience required:

6+

Duration of the Assignment:

1 + Years

Interviewer name & emp id :

TCS -

Start Date (please mention the date not ASAP) :

01/01/2024

Rate per day/month of billing that TCS will get from client:

Rate Payable to contractors (Mandatory)

Number of persons required:

3

Special working conditions (travel, on call etc):

None

Additional remarks (if any):

Person Specification:

I.e. Negotiating, client facing, communication, assertive, team leading/team member skills, supportive.

- Should have excellent customer interaction skills - communicates confidently with all levels of the business, IT and external consultants.

The above is an accurate and concise description of the said position.

All CVs to be shared to for Screening/Tech Reviews

📌 GCP Data Architect_TCS (Pune)
🏢 TalentOla
📍 Pune