Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: IN_Senior Associate_AWS DE_Data and Analytics_Advisory_Bangalore.
India Jobs Expertini

Urgent! IN_Senior Associate_AWS DE_Data and Analytics_Advisory_Bangalore Job Opening In Kalhalli – Now Hiring PwC

IN_Senior Associate_AWS DE_Data and Analytics_Advisory_Bangalore



Job description

Description

& Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

· Design and implement ETL/ELT pipelines using AWS services such as Lambda, Glue, EMR, and Step Functions · Develop scalable data processing workflows using Python and/or PySpark · Work with AWS Data Lake and Data Warehouse (e.g., S3, Redshift, Athena, Lake Formation) to ingest, transform, and store structured and semi-structured data · Optimize data pipelines for performance, reliability, and cost-efficiency · Collaborate with cross-functional teams in a Scrum/Agile setup to deliver sprint goals · Ensure data quality, lineage, and governance through automated validation and monitoring · Maintain and enhance CI/CD pipelines for data workflows · Document technical designs, data flows, and operational procedures · Develops, and delivers large-scale data ingestion, data processing, and data transformation projects on the Azure cloud · Mentors and shares knowledge with the team to provide design reviews, discussions and prototypes · Works with customers to deploy, manage, and audit standard processes for cloud products.

Mandatory skill sets:

AWS Lambda, Glue, S3, Hands on experience with Pyspark/Python on AWS,

Preferred skill sets:

· Other AWS services like Redshift, Athena, and other services · strong understanding of data lake and data warehouse architectures on AWS · Experience with Airflow, Terraform, or CloudFormation · Certification on AWS

Years of experience required:

3 to 12 years

Education qualification:

BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your IN_Senior Associate_AWS Potential: Insight & Career Growth Guide