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

Open nowPosted yesterday

Data Engineer

Zensar226 open roles

Where
India
Get the CV for this job

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

Your applicationOpen nowData EngineerZensar · India

  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 Zensar'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.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Zensar postings stay open a median of 6 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted yesterday

Zensar median: 6 days open

The posting

Job Description

Job Summary

We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms. The ideal candidate will have hands-on experience in data engineering, ETL/ELT processes, cloud technologies, big data frameworks, and data warehousing solutions. The role involves collaborating with data scientists, analysts, and business stakeholders to deliver reliable and high-quality data solutions.

Responsibilities

Core Responsibility:

ETL/ELT Pipeline Development: Build and maintain data pipelines extracting from Martech Platforms.

MarTech & CDP Integration: Manage Customer Data Platforms (CDPs) and associated tools

Identity Resolution & Attribution: Manage user stitching, PII-compliant data handling

Data Quality & Governance: Ensure data lineage, schema validation, and reliable monitoring using orchestration tools like Apache Airflow

Qualifications

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and data integration solutions.
  • Build and optimize ETL/ELT workflows for processing large-scale datasets.
  • Develop and manage enterprise data warehouses, data lakes, and lakehouse architectures.
  • Integrate data from multiple structured and unstructured sources.
  • Ensure data quality, governance, security, and compliance standards.
  • Optimize data storage, retrieval, and processing performance.
  • Collaborate with Data Scientists, BI Developers, Product Owners, and business teams.
  • Monitor and troubleshoot data pipelines and production data issues.
  • Implement data validation, lineage, and monitoring frameworks.
  • Support real-time and batch data processing requirements.

Required Skills

Core Technical Skills

  • Strong proficiency in SQL and database design principles.
  • Hands-on experience with Python, PySpark, or Scala.
  • Experience building ETL/ELT pipelines and data integration solutions.
  • Strong understanding of Data Modeling (Star Schema, Snowflake Schema, Dimensional Modeling).
  • Experience with Data Warehousing concepts and best practices.
  • Knowledge of batch and real-time data processing frameworks.

Big Data Technologies

  • Apache Spark
  • Hadoop Ecosystem
  • Databricks
  • Apache Kafka
  • Apache Airflow

Cloud Platforms

  • Microsoft Azure (ADF, ADLS, Synapse, Fabric)
  • AWS (S3, Glue, Redshift, EMR)
  • Google Cloud Platform (BigQuery, Dataflow)

Databases

  • SQL Server
  • PostgreSQL
  • Oracle
  • MySQL
  • MongoDB

Preferred Skills

  • Experience with Microsoft Fabric and modern Data Lakehouse architecture.
  • Hands-on experience using Azure Data Factory (ADF), Synapse Analytics, and Databricks.
  • Experience with streaming technologies such as Kafka and Spark Streaming.
  • Knowledge of data governance and cataloging tools.
  • Experience with CI/CD implementation for data pipelines.
  • Familiarity with Infrastructure as Code (Terraform).

Tools & Technologies

  • Python
  • SQL
  • PySpark
  • Databricks
  • Apache Spark
  • Kafka
  • Airflow
  • Azure Data Factory
  • Azure Synapse Analytics
  • Microsoft Fabric
  • Git
  • Azure DevOps
  • Jenkins

Educational Qualification

  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

Good-to-Have

  • Experience working in Retail, E-commerce, Banking, or Enterprise Data Platforms.
  • Understanding of Machine Learning data pipelines.
  • Knowledge of data governance, data security, and compliance frameworks.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile/Scrum environments.

About Us

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.

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 Zensar'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 Zensar'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

    Zensar'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.