Cloud Data Architect| Bangalore
Bengaluru Millenia
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
Senior AssociateJob Description & Summary
A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritise emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation.Our team helps organisations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritising emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.
Location : Bangalore
Total Years of experience: 6-8 yrs
Responsibilities :
- Proficient in designing and implementing data ingestion pipelines from various sources.
- Build and enhance Python and PySpark-based frameworks for efficient and scalable data
ingestion processes.
- Collaborate with cross-functional teams to understand requirements and tailor frameworks to
meet specific business needs.
- Utilize your data engineering skills in AWS Data Services, including Glue, EMR, Airflow,
CloudWatch, Lambda, Step Functions, and Event Triggers.
- Optimize and enhance existing data services to ensure high performance and reliability.
- Act as a senior engineer, serving as the main interaction point between technical teams and
business functional teams.
- Provide technical leadership and guidance to junior team members, fostering a collaborative
and innovative work environment
- Very good knowledge in snowflake.
Qualifications :
- Proven track record of designing and implementing data ingestion solutions.
- Proficiency in Python and PySpark for building data frameworks.
- Extensive experience with AWS Data Services such as Glue, EMR, Airflow, CloudWatch,
Lambda, Step Functions, and Event Triggers.
- Strong communication skills with the ability to understand and explain complex data ingestion
processes to both technical and non-technical stakeholders.
- Demonstrated ability to work independently as a senior engineer, taking ownership of projects
and leading cross-functional teams.
Industry Type: IT Services & Consulting
Employment Type: Full Time, Permanent
Education
UG: B.Tech/B.E. in Any Specialization, B.Sc in Any Specialization, BCA in Any Specialization
PG: Any Postgraduate
Doctorate: Doctorate Not Required
Mandatory skill sets- AWS/Azure Data ,SME/Python
Preferred skill sets- ADB, ADF, Glue, Lambda, Data bricks, python, ETL, Generative AI,Spark
Year of experience required- 6 to 8 years
Qualifications- Graduate Engineer or Management Graduate
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
AWS Devops, Python (Programming Language), SME ManagementOptional Skills
Android Debug Bridge (ADB), AWS Lambda, ETL Tools, Generative AI, Oracle ADF, Pyth (Procedural Programming Language)Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Consulting Databricks DevOps Engineering ETL Generative AI Lambda Oracle Pipelines PySpark Python Snowflake Spark Step Functions
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