IN-Senior Associate Data Engineering Emerging Technologies Advisory BangaloreKolkata
IN-Senior Associate Data Engineering Emerging Technologies Advisory BangaloreKolkata
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Emerging TechnologiesManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world. We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences for each other. Learn moreabout us.
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: We are seeking a skilled AWS Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and cloud computing particularly within the AWS ecosystem. You will be responsible for designing building and maintaining data pipelines and architectures that support our data analytics and business intelligence efforts.
Responsibilities:
- Design and implement scalable data pipelines using AWS services such as Glue Lambda S3 Redshift RDS & EMR.
- Develop and maintain ETL processes to transform and load data from various sources into data warehouses or lakes.
- Collaborate with data scientists and analysts to understand data requirements and ensure data availability and quality.
- Monitor and optimize data pipeline performance and troubleshoot issues as they arise.
- Implement data security and compliance measures in line with industry standards and best practices.
Qualification:
- Document data engineering processes and solutions. Bachelors degree in Computer Science Information Technology or a related field.
Proven experience as a Data Engineer with a focus on AWS cloud services.
Proficiency in programming languages such as Python or Scala.
Experience with SQL and database management systems.
Familiarity with big data technologies such as Hadoop and Spark.
Strong problemsolving skills and attention to detail.
Excellent communication and teamwork abilities.
Mandatory skill sets:
AWS Hadoop/spark python/scala SQL
Preferred skill sets:
AWS Certified Data Analytics Specialty or AWS Certified Solutions Architect.
Experience with DevOps practices and tools for data engineering.
Years of experience required:
4 to 8 years
Education qualification:
BE/B.tech/MCA/MTech
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Python (Programming Language) Spark SQLOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline Data Quality Data Transformation Data Validation 18 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
