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Lead Data Engineer Job Opening In Bangalore – Now Hiring Target

Lead Data Engineer

    India Jobs Expertini Expertini › India › Jobs › Bangalore › Other General › Lead Data Engineer

Job description

**About us:**
Working at Target means helping all families discover the joy of everyday life.

We bring that vision to life through our values and culture.

Learn more about Target here (https://corporate.target.com/about) .

**About the Role:**
As a **Lead Data Engineer** , you will serve as the **technical anchor** for the engineering team, responsible for designing and developing **scalable, high-performance data solutions** .

You will **own and drive data architecture** that supports both functional and non-functional business needs, ensuring **reliability, efficiency, and scalability** .
Your expertise in **big data technologies, distributed systems, and cloud platforms** will help shape the engineering roadmap and best practices for **data processing, analytics, and real-time data serving** .

You will play a key role in **architecting and optimizing data pipelines** using **Hadoop, Spark, Scala/Java, and cloud technologies** to support enterprise-wide data initiatives.
Additionally, **experience with API development for serving low-latency data** and **Customer Data Platforms (CDP)** will be a strong plus.

**Key Responsibilities:**

+ Architect and build **scalable, high-performance data pipelines** and **distributed data processing solutions** using **Hadoop, Spark, Scala/Java, and cloud platforms (AWS/GCP/Azure)** .
+ Design and implement **real-time and batch data processing solutions** , ensuring data is efficiently processed and made available for analytical and operational use.
+ **Develop APIs and data services** to expose **low-latency, high-throughput** data for downstream applications, enabling real-time decision-making.
+ Optimize and enhance **data models, workflows, and processing frameworks** to improve performance, scalability, and cost-efficiency.
+ Drive **data governance, security, and compliance** best practices.
+ Collaborate with **data scientists, product teams, and business stakeholders** to understand requirements and deliver **data-driven solutions** .
+ Lead the **design, implementation, and lifecycle management** of data services and solutions.
+ Stay up to date with **emerging technologies** and drive adoption of best practices in **big data engineering, cloud computing, and API development** .
+ Provide **technical leadership and mentorship** to engineering teams, promoting best practices in **data engineering and API design** .

**About You:**

+ **7+ years of experience in data engineering, software development, or distributed systems.**
+ **Expertise in big data technologies** such as **Hadoop, Spark, and distributed processing frameworks.**
+ **Strong programming skills in Scala and/or Java** (Python is a plus).
+ **Experience with cloud platforms (AWS, GCP, or Azure)** and their **data ecosystem** (e.g., S3, BigQuery, Databricks, EMR, Snowflake, etc.).
+ **Proficiency in API development** using **REST, GraphQL, or gRPC** to serve real-time and batch data.
+ **Experience with real-time and streaming data architectures** (Kafka, Flink, Kinesis, etc.).
+ Strong knowledge of **data modeling, ETL pipeline design, and performance optimization** .
+ Understanding of **data governance, security, and compliance** in large-scale data environments.
+ **Experience with Customer Data Platforms (CDP) or customer-centric data processing** is a strong plus.
+ Strong problem-solving skills and ability to work in **complex, unstructured environments** .
+ Excellent communication and collaboration skills, with experience working in **cross-functional teams** .

**Why Join Us?**

+ Work with cutting-edge **big data, API, and cloud technologies** in a fast-paced, collaborative environment.
+ Influence and shape the **future of data architecture and real-time data services** at Target.
+ Solve **high-impact business problems** using **scalable, low-latency data solutions** .
+ Be part of a culture that values **innovation, learning, and growth** .


Required Skill Profession

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Lead Data in Bangalore, India, highlighting market share and opportunities for professionals in Lead Data roles.

318959 Jobs in India
318959
4122 Jobs in Bangalore
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Download Lead Data Jobs Trends in Bangalore and India

Are You Looking for Lead Data Engineer Job?

Great news! is currently hiring and seeking a Lead Data Engineer to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Target adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Lead Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bangalore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Lead Data Engineer?

Key qualifications for Lead Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Data Engineer Job Success

Target interview tips for Lead Data Engineer

Here are some tips to help you prepare for and ace your Lead Data Engineer job interview:

Before the Interview:

Research: Learn about the Target's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Engineer interview at Target, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Target's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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