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AWS Data Engineer

Mount Talent Consulting

10.0 - 18.0 years

12 - 22 Lacs

Pune

Hybrid

Hi, We are hiring for the role of AWS Data Engineer with one of the leading organization for Bangalore & Pune. Experience - 10+ Years Location - Bangalore & Pune Ctc - Best in the industry Job Description Technical Skills PySpark coding skill Proficient in AWS Data Engineering Services Experience in Designing Data Pipeline & Data Lake If interested kindly share your resume at nupur.tyagi@mounttalent.com

Posted 4 days ago

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Senior - Data platform Azure/AWS Databricks

Hexaware Technologies

5.0 - 8.0 years

Pune, Bengaluru

Hybrid

Location : Bangalore,Pune Experience : 5 - 8 years ( 5 yrs relevant) Notice period : Immediate to 15 days Work Mode : Hybrid ( In office mandatory) Interested candidates share resume to aishahw@hexaware.com. JD: - ob Summary: The Technical Lead will be responsible for managing day-to-day operations of the Data Platform in Azure/AWS Databricks environments. This role includes designing and implementing data ingestion pipelines, ensuring data quality and availability, optimizing performance, and maintaining system stability. The candidate will lead architectural decisions, mentor team members, and ensure compliance with security and governance standards. II. Roles & Responsibilities: Design an...

Posted 2 weeks ago

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Technical Lead - Data platform Azure/AWS Databricks

Hexaware Technologies

9.0 - 14.0 years

Pune, Bengaluru

Hybrid

Location : Bangalore,Pune Experience : 8 - 13 years ( 8 yrs relevant) Notice period : Immediate to 15 days Work Mode : Hybrid ( In office mandatory) Interested candidates share resume to aishahw@hexaware.com. JD: - ob Summary: The Technical Lead will be responsible for managing day-to-day operations of the Data Platform in Azure/AWS Databricks environments. This role includes designing and implementing data ingestion pipelines, ensuring data quality and availability, optimizing performance, and maintaining system stability. The candidate will lead architectural decisions, mentor team members, and ensure compliance with security and governance standards. II. Roles & Responsibilities: Design a...

Posted 2 weeks ago

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Exploring Data Lake Jobs in India

The data lake job market in India is experiencing significant growth as organizations continue to invest in big data technologies to drive business insights and decision-making. Data lake professionals are in high demand across various industries, offering lucrative career opportunities for job seekers with relevant skills and experience.

Top Hiring Locations in India

Bangalore
Mumbai
Pune
Hyderabad
Delhi/NCR

Average Salary Range

The average salary range for data lake professionals in India varies based on experience levels. Entry-level positions may start at around INR 4-6 lakhs per annum, while experienced professionals can earn upwards of INR 12-15 lakhs per annum.

Career Path

Typically, a career in data lake progresses from roles such as Data Engineer or Data Analyst to Senior Data Engineer, Data Architect, and eventually to a Data Science Manager or Chief Data Officer. Advancement in this field is often based on gaining experience working with large datasets, implementing data management best practices, and demonstrating strong problem-solving skills.

Related Skills

In addition to expertise in data lake technologies like Apache Hadoop, Apache Spark, and AWS S3, data lake professionals are often expected to have skills in data modeling, data warehousing, SQL, programming languages like Python or Java, and experience with ETL (Extract, Transform, Load) processes.

Interview Questions

What is a data lake and how does it differ from a data warehouse? (basic)
Explain the components of Hadoop ecosystem and their roles in data processing. (medium)
How do you ensure data quality and consistency in a data lake environment? (medium)
What are the key challenges of managing metadata in a data lake? (advanced)
Can you explain how data partitioning works in Apache Spark? (medium)
What are the best practices for optimizing data storage in a data lake? (advanced)
Describe a complex data transformation process you implemented in a data lake project. (medium)
How do you handle data security and access control in a data lake architecture? (medium)
What are the benefits of using columnar storage in a data lake? (basic)
Explain the concept of data lineage and its importance in data lake management. (medium)
How do you handle schema evolution in a data lake environment? (advanced)
What are the differences between batch processing and real-time processing in a data lake? (basic)
Can you discuss the role of Apache Hive in data lake analytics? (medium)
How do you monitor and troubleshoot performance issues in a data lake cluster? (advanced)
What are the key considerations for designing a scalable data lake architecture? (medium)
Explain the concept of data lake governance and its impact on data management. (medium)
How do you optimize data ingestion processes in a data lake to handle large volumes of data? (medium)
Describe a scenario where you had to deal with data quality issues in a data lake project. How did you resolve it? (medium)
What are the best practices for data lake security in a cloud environment? (advanced)
Can you explain the concept of data catalog and its role in data lake management? (medium)
How do you ensure data privacy compliance in a data lake architecture? (medium)
What are the advantages of using Apache Flink for real-time data processing in a data lake? (advanced)
Describe a successful data lake implementation project you were involved in. What were the key challenges and how did you overcome them? (medium)
How do you handle data retention policies in a data lake to ensure data governance and compliance? (medium)
What are the key considerations for disaster recovery planning in a data lake environment? (advanced)

Closing Remark

As the demand for data lake professionals continues to rise in India, job seekers should focus on honing their skills in big data technologies and data management practices to stand out in the competitive job market. Prepare thoroughly for interviews by mastering both technical and conceptual aspects of data lake architecture and be confident in showcasing your expertise to potential employers. Good luck in your job search!

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