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5 Big Data Technologies Jobs

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Data Engineer-Data Platforms-AWS

IBM

4.0 - 9.0 years

Pune

Work from Office

Your role and responsibilities As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform...

Posted 1 week ago

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Lead ML / Data Scientist

confidential

5.0 - 9.0 years

Pune

On-site

Role Overview: As the Lead Data Scientist at Aventior, you will play a crucial role in driving data-driven decision-making and advancing the organization's AI and analytical capabilities. You will be responsible for leading a team of Data Scientists, AI Engineers, and Data Analysts, collaborating with cross-functional teams, and contributing to the development and implementation of AI and advanced analytics solutions. Your role will involve leading, inspiring, and mentoring the AI and Data Science team to foster a collaborative and innovative work environment. Additionally, you will conduct regular performance assessments and contribute to professional development plans. Key Responsibilities...

Posted 1 week ago

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Senior/Staff Data Engineer (Rust)

Agoda

5.0 - 9.0 years

Chennai, All india

On-site

In this role at Agoda, you will have the opportunity to work with the Data Store Team, operating at a massive scale across multiple data centers. Join a diverse and talented team to tackle complex challenges in real-time data management. If you are passionate about building scalable systems and solving complex problems, this is the perfect opportunity for you. **Role Overview:** As a member of the Data Store Team at Agoda, you will have the chance to enhance the monitorability, scalability, stability, accuracy, speed, and efficiency of data storage systems. Your responsibilities will include designing and developing authentication systems, building and maintaining load balancers, automating ...

Posted 2 weeks ago

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Senior Data Scientist - Consumer Insights

NielsenIQ

5.0 - 9.0 years

Hyderabad, All india

On-site

As a Data Scientist in our team, your role will be to lead the development and implementation of advanced analytics solutions to derive actionable consumer insights from large datasets. **Key Responsibilities:** - Design and implement statistical models and machine learning algorithms to analyze consumer behavior and market trends. - Analyze large datasets to identify consumer preferences, behaviors, and market trends. - Communicate insights effectively through compelling visualizations and presentations. - Collaborate with cross-functional teams to translate insights into actionable business strategies. **Qualifications Required:** - Master's or PhD degree in a quantitative field. - 5 years...

Posted 3 weeks ago

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Big Data Senior Developer (Python, Spark/Pyspark) - Assistant Vice President

CITI

5.0 - 9.0 years

Pune, All india

On-site

The Applications Development Senior Programmer Analyst position is an intermediate level role that involves collaborating with the Technology team to establish and implement new or updated application systems and programs. Your main objective will be to contribute to applications systems analysis and programming activities. Responsibilities: - Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, and model development. - Monitor and control all phases of the development process. - Provide user and operational support. - Analyze complex problems and recommend security measures post-implementation. - Consult with users/cl...

Posted 3 weeks ago

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Exploring Big Data Technologies Jobs in India

The job market for big data technologies in India is rapidly growing, with numerous opportunities available for skilled professionals in this field. Big data technologies are in high demand across various industries, including IT, finance, healthcare, and e-commerce. As companies continue to rely on data-driven insights for decision-making, the need for professionals with expertise in big data technologies is on the rise.

Top Hiring Locations in India

Bangalore
Pune
Hyderabad
Mumbai
Delhi

Average Salary Range

The average salary range for big data technologies professionals in India varies based on experience levels. Entry-level positions can expect to earn around INR 4-6 lakhs per annum, while experienced professionals can command salaries ranging from INR 12-20 lakhs per annum.

Career Path

Typically, a career in big data technologies progresses from roles such as Junior Developer or Data Analyst to Senior Developer, Data Engineer, Data Scientist, and eventually to Tech Lead or Architect positions. Continuous upskilling and staying updated with the latest technologies in the field are essential for career advancement.

Related Skills

In addition to expertise in big data technologies, professionals in this field are often expected to have skills in programming languages such as Python, R, Java, and SQL. Knowledge of data visualization tools like Tableau and Power BI, as well as experience with cloud platforms like AWS or Azure, can also be beneficial.

Interview Questions

What is the difference between structured and unstructured data? (basic)
Explain the MapReduce framework and its components. (medium)
How do you handle missing data in a dataset? (basic)
What is the purpose of Apache Hadoop? (basic)
Describe the difference between batch processing and real-time processing. (medium)
What is the role of Apache Spark in big data analytics? (medium)
Explain the concept of data normalization. (basic)
How do you optimize a big data workflow for performance? (medium)
What is the CAP theorem in distributed systems? (advanced)
How does machine learning complement big data analytics? (medium)
Discuss the importance of data governance in big data projects. (medium)
What are some common techniques for data preprocessing? (basic)
Explain the concept of dimensionality reduction in big data analytics. (medium)
How do you ensure data security in a big data environment? (medium)
What is the role of a data pipeline in big data processing? (medium)
Describe the process of data wrangling. (basic)
How do you handle outliers in a dataset? (basic)
What are the key differences between NoSQL and SQL databases? (medium)
Discuss the challenges of working with streaming data. (medium)
How do you evaluate the performance of a machine learning model? (medium)
What is the purpose of data partitioning in distributed computing? (medium)
Explain the concept of data sharding. (medium)
How do you handle concurrency in a distributed system? (medium)
Discuss the role of data lakes in big data architecture. (medium)
What are the best practices for data storage in a big data environment? (medium)

Closing Remark

As you navigate the job market for big data technologies in India, remember to showcase your skills and experience confidently during interviews. Stay updated with the latest trends in the field and continuously upskill yourself to stay competitive in the ever-evolving tech industry. Prepare thoroughly, and you'll be well on your way to securing a rewarding career in big data technologies. Good luck!

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