{"id":2965,"date":"2025-11-23T09:07:43","date_gmt":"2025-11-23T09:07:43","guid":{"rendered":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/in-senior-associate_aws-data-engineer-_data-analytics_-advisory_-bangalore\/"},"modified":"2025-11-23T09:07:43","modified_gmt":"2025-11-23T09:07:43","slug":"in-senior-associate_aws-data-engineer-_data-analytics_-advisory_-bangalore","status":"publish","type":"post","link":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/in-senior-associate_aws-data-engineer-_data-analytics_-advisory_-bangalore\/","title":{"rendered":"IN-Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore"},"content":{"rendered":"

Line of Service Advisory<\/span>Industry\/Sector Not Applicable<\/span>Specialism Operations<\/span>Management Level Senior Associate<\/span>Job 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 decision-making and driving business growth.<\/span>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.<\/span>*Why PWC<\/span>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 purpose-led and values-driven 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 more .<\/span>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 firm\u2019s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. “<\/span>Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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.<\/span>Responsibilities:<\/b><\/span>\u00b7 Design, develop, and maintain ETL\/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR). \u00b7 Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable). \u00b7 Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.). \u00b7 Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS. \u00b7 Strong proficiency in SQL, Python, and PySpark. \u00b7 Expertise in AWS data ecosystem \u2013 including Glue, Redshift, S3, Lambda, EMR, and Athena.<\/span>Mandatory skill sets:<\/span>\u00b7 Strong proficiency in SQL, Python, and PySpark. \u00b7 Expertise in AWS data ecosystem \u2013 including Glue, Redshift, S3, Lambda, EMR, and Athena.<\/span>Preferred skill sets:<\/b><\/span>\u00b7 AWS Certified Data Analytics \u2013 Specialty or AWS Certified Solutions Architect.<\/span>Years of experience required:<\/span>4-7<\/span>Education qualification:<\/b><\/span>B.Tech \/ M.Tech \/ MBA \/ MCA<\/span>Education (if blank, degree and\/or field of study not specified) Degrees\/Field of Study required: Master of Business Administration, Bachelor of Engineering<\/span>Degrees\/Field of Study preferred:<\/span>Certifications (if blank, certifications not specified)<\/span>Required Skills AWS Compute<\/span>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}<\/span>Desired Languages (If blank, desired languages not specified)<\/span>Travel Requirements<\/b><\/span>Available for Work Visa Sponsorship?<\/span>Government Clearance Required?<\/span>Job Posting End Date<\/p>\n

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Line of Service Advisory Industry\/Sector Not Applicable Specialism Operations Management Level Senior Associate Job 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<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[73],"tags":[],"class_list":["post-2965","post","type-post","status-publish","format-standard","hentry","category-aws-jobs"],"jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pgs0IK-LP","jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/2965","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/comments?post=2965"}],"version-history":[{"count":0,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/2965\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/media?parent=2965"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/categories?post=2965"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/tags?post=2965"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}