Big Data Engineer

2 weeks ago

Pune, Maharashtra, India Draftmason Enterprises Full time

Designation : Big Data Engineer

Experience : 5 - 8 Years

Salary Range : upto 30 LPA

Job Location : Kharadi, Pune

Type Of Employment : FT, Permanent

Working Mode : Hybrid (3 days WFO)

Working Days : Mon - Fri

Reports To : Director - Data Engineering

The Opportunity :


We are looking for talented, motivated, and self-driven Big Data Engineers who specialize in data-driven projects and have incredible experience in collecting, transforming and analyzing data to improve the effectiveness of our products and create delightful experiences for customers. This is a great opportunity to work with a fast-growing US product-based company with a great work culture.

What You Will Do :

- A Big Data Engineer is responsible for designing, building, and maintaining the infrastructure used to store and process large amounts of data.

- Will work with teams of data scientists, analysts, product, Support Engineers, and other teams to ensure that the data is easily accessible, reliable, and scalable format. If needed jump on production issues and try to resolve them ASAP.

- Should have a strong background in computer science and experience with big data technologies, such as S3, Data lakes, Spark, Glue, EMR, and Athena.

- Will be an integral part of the development team examining requirements and designing optimal solutions.

Who You Are :

- You are a 5 - 8 Years experienced professional having good working exposure in the following areas :

1. RDBMS databases (Preferably MySQL having proficiency in Data Modelling and writing optimized SQL)

2. Proficiency in at least one Programming Language (PHP, Scala, Python, Java)

3. Data Engineering Stack (ETL tools & data pipelines, Apache Spark, Apache Airflow, NoSQL databases)

4. AWS Services (AWS SDK, S3, Data Lakes, Aurora, Athena, EMR, Glue, Lambda, SQS)

- Developing algorithms and data models to clean, transform, and analyze data, and creating visualizations and reports to communicate findings.

- Collaborating with data scientists and analysts to support their data needs and help them develop and test their models.

- Troubleshooting and optimizing the data infrastructure to improve performance and reliability. To be successful in this role, a Big Data Engineer should have a strong understanding of computer science principles, such as algorithms, data structures, and software design.

- They should also be familiar with big data technologies and have experience working with large datasets.

- Good communication skills and the ability to work well in a team are also important.

Nice to Have :

- Great learning attitude.

- Eagerness to take ownership.

- A global mindset.

Must-Have Skills :

- Good communication skills (may have to coordinate with US colleagues and hence need to have clarity in communication)

- Python or Scala, AWS, PySpark, Data Pipelines, ETL, Airflow

- Individual Contributor and team-leading experience is optional

Interview Rounds : Online Technical MCQ Test (using Adaface) + Technical Panel Interview + Head Of Engineering + HR

Some of the industry-leading benefits we offer include :

- Competitive salary

- Group Health Insurance Policy

- Group Accident/Disability Insurance

- Hybrid Work Options

- Employee Referral Program

- Food and Beverages

- Stock options

(ref:hirist.tech)

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