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Data Engineer

Accenture

posted 10d ago

Job Role Insights

Flexible timing

Job Description



Project Role :Data Engineer

Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills :PySpark

Good to have skills :NA
Minimum

3 year(s) of experience is required

Educational Qualification :15 years full time education

Summary:As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. About The Role ::Responsibilities:1.Develop, optimize, and maintain large-scale data processing pipelines using Apache Spark and Python or PySpark.2.Write and maintain efficient, reusable, and reliable code to ensure the best possible performance and quality.3.Collaborate with data engineers, data scientists, and other stakeholders to design and implement robust data solutions.4.Perform data extraction, transformation, and loading (ETL) operations on large datasets.5.Troubleshoot and resolve issues related to data processing and pipeline performance.6.Implement best practices for data processing, including data validation, error handling, and logging.7.Work with cloud-based data storage and processing platforms such as AWS, Azure, or Google Cloud.8.Stay up to date with the latest industry trends and technologies to ensure the team is using the best tools and techniques available. Qualifications:1.Bachelors degree in computer science, Information Technology, or a related field (or equivalent experience).2.Proven experience as a PySpark Developer or in a similar role.3.Strong proficiency in Python/pyspark programming and experience with Apache Spark.4.Solid understanding of data processing concepts and ETL pipelines.5.Experience with any cloud platforms such as AWS, Azure, or Google Cloud.6.Proficiency in SQL and experience with relational and NoSQL databases.7.Experience with version control systems like Git.8.Familiarity with any big data tools and frameworks (e.g., Hadoop, Kafka).9.Strong problem-solving skills and attention to detail.10.Excellent communication and teamwork skills.11.Familiarity with Agile development methodologies

 Qualifications 

15 years full time education

Employment Type: Full Time, Permanent

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Accenture Interview Questions & Tips

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What Data Engineer at Accenture are saying

4.0
 Rating based on 206 Data Engineer reviews

Likes

Accenture is a great place to work and learn more and in gaining much experience at work if we get proper guidance from our superiors.And the perks and benefits we get here are incredible.

  • Salary - Excellent
  • +1 more
Dislikes

There was one person named deepraj talpade who was a du lead for the domain Data and Ai at Accenture. As i was a fresher i will be having responsibilities like attending Kt sessions from my superior any new project i get and i should get some guidance and help from them but in my case they use give such big tasks without any Kt and g..Read More

  • Skill development - Bad
  • +3 more
Read 206 Data Engineer reviews

Data Engineer salary at Accenture

reported by 2.4k employees
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₹2.8 L/yr - ₹15.6 L/yr
14% less than the average Data Engineer Salary in India
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What Accenture employees are saying about work life

based on 56.6k employees
65%
85%
67%
75%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Accenture Benefits

Free Transport
Cafeteria
Work From Home
Gymnasium
Health Insurance
Soft Skill Training +6 more
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Accenture Mumbai Office Location

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Mumbai Office
1st, 2nd, 3rd, & 4th Office Level, Building No. 02, Mindspace, Serene Properties IT/ITES SEZ, Thane-Belapur Road, Airoli, Navi MumbaiMumbai, India, Mumbai
400708

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