Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 14 days ago

Lead Data Engineer (AWS)

dentsu765 open roles

Where
DGS India Pune Indiqube Orchid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowLead Data Engineer (AWS)dentsu · DGS India Pune Indiqube Orchid

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on dentsu's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. dentsu postings stay open a median of 29 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 14 days ago

dentsu median: 29 days open

The posting

The purpose of this role is to provide technical guidance and suggest improvements in development processes. Develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.

Job Description:

Business Title

Technical Lead

Years of Experience

Min 6 and max upto 10.

Job Description

Looking for a hands‑on AWS Technical Lead – Data Engineering with 6 to 10 years of total experience to design and deliver scalable, secure, and high‑performance data platforms on AWS. This role focuses on strong individual contribution with technical ownership, working closely with global teams, architects, and clients to deliver enterprise‑grade data engineering solutions. The position requires deep expertise in AWS data services, SQL, and Python, and the ability to build and optimize reliable data pipelines for analytics and business use cases.

Key responsibiltes

Data Platform Design & Development Design and implement AWS‑based data engineering solutions aligned to enterprise standards Build and optimize batch and streaming data pipelines using AWS native and open‑source tools Develop SQL‑driven transformations and Python‑based data pipelines for analytics use cases Design efficient data models for performance, scalability, and cost effectiveness

Delivery & Quality Ownership Own data engineering deliverables from development through production support Perform performance tuning, cost optimization, and capacity planning Troubleshoot complex data pipeline and production issues, including root‑cause analysis Ensure solutions meet requirements for security, reliability, and scalability

Collaboration & Client Engagement Work closely with architects, product owners, and client stakeholders Translate business and analytics requirements into robust AWS data engineering solutions Provide clear technical inputs, estimates, and implementation trade‑offs Contribute to solution discussions and technical design reviews

Engineering Best Practices Follow and contribute to coding standards, documentation, and data engineering best practices Participate in code reviews and continuous improvement initiatives Ensure adherence to AWS, security, and compliance guidelines

Must have skills

Cloud & Data Engineering (AWS) Strong hands‑on experience with AWS data services, including: Amazon S3, AWS Glue, Athena, Redshift Experience designing cloud‑native data lakes and data warehouse architectures on AWS Deep understanding of batch and streaming data pipelines Experience building scalable, fault‑tolerant data ingestion and transformation workflows

SQL & Python (Mandatory) Strong SQL expertise Writing complex SQL for transformations, aggregations, performance tuning, and analytics Hands‑on experience handling large‑scale datasets in Redshift / Athena

Strong Python programming skills (mandatory) for data engineering use cases

PySpark / Spark‑based processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, and performance optimization

Data Processing & Engineering Proven hands‑on experience with distributed processing frameworks such as Spark / PySpark Experience working with structured, semi‑structured, and unstructured data Solid understanding of schema design, partitioning, and query optimization

DevOps & Platform Engineering Experience with Infrastructure as Code using Terraform and/or CloudFormation Hands‑on experience building and maintaining CI/CD pipelines for data platforms Exposure to containerized workloads (Docker, ECS/EKS where applicable to data workloads)

Collaboration & Ownership Strong ownership mindset for solution quality, performance, and production stability Excellent communication skills to collaborate with architects, DevOps, QA, and business stakeholders

Good to have skills

Experience with real‑time/streaming technologies (Kinesis, Kafka, MSK) Exposure to Lakehouse architectures and modern data platform patterns Experience integrating AWS data platforms with BI and analytics tools Knowledge of data governance, data quality, and metadata management Familiarity with FinOps practices for optimizing AWS data platform costs Exposure to marketing, customer, or analytics data domains (CDP / MarTech) Experience working in Agile delivery models with global delivery exposure

Education Qulification

1. Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

Certification If Any

AWS Data Analytics / Solutions Architect Any two of the above Databricks, Snowflake, or other cloud data platform certifications are a plus.

Shift timing

12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

Location:

DGS India - Pune - Indiqube Orchid

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against dentsu's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on dentsu's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    dentsu's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.