{"id":5403,"date":"2026-03-17T04:00:33","date_gmt":"2026-03-17T04:00:33","guid":{"rendered":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/were-hiring-in_manager_aws-data-architect_da_advisory_pan-india-2\/"},"modified":"2026-03-17T04:00:33","modified_gmt":"2026-03-17T04:00:33","slug":"were-hiring-in_manager_aws-data-architect_da_advisory_pan-india-2","status":"publish","type":"post","link":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/were-hiring-in_manager_aws-data-architect_da_advisory_pan-india-2\/","title":{"rendered":"We\u2019re Hiring IN_Manager_AWS Data Architect_D&#038;A_Advisory_PAN India"},"content":{"rendered":"<p>Line of Service Advisory<span class=\"br\"><\/span>Industry\/Sector Not Applicable<span class=\"br\"><\/span>Specialism Data, Analytics &#038; AI<span class=\"br\"><\/span>Management Level Manager<span class=\"br\"><\/span>Job Description &#038; 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 class=\"br\"><\/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 class=\"br\"><\/span>*Why PWC<span class=\"br\"><\/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 class=\"br\"><\/span>.<span class=\"br\"><\/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. &#8220;<span class=\"br\"><\/span>Job Description &#038; Summary: A career within\u2026.<span class=\"br\"><\/span><b>Responsibilities:<\/b><\/p>\n<ul>\n<li>Design and build data pipelines &#038; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions<\/li>\n<li>Knowledge about the concepts of data lake and data warehouse<\/li>\n<li>Experience working with AWS big data technologies<\/li>\n<li>Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection.<\/li>\n<li>Deploy and configure components to production environments<\/li>\n<li>Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQL<\/li>\n<\/ul>\n<p> Mandatory skill sets:<span class=\"br\"><\/span>AWS Data Engineer<span class=\"br\"><\/span><b>Preferred skill sets:<\/b><span class=\"br\"><\/span>AWS Data Engineer<span class=\"br\"><\/span>Years of experience required:<span class=\"br\"><\/span>7-12<span class=\"br\"><\/span><b>Education qualification:<\/b><span class=\"br\"><\/span>B. Tech\/MBA\/MCA \/ M. Tech<span class=\"br\"><\/span>Education (if blank, degree and\/or field of study not specified) Degrees\/Field of Study required: Master of Engineering, Bachelor of Engineering<span class=\"br\"><\/span>Degrees\/Field of Study preferred:<span class=\"br\"><\/span>Certifications (if blank, certifications not specified)<span class=\"br\"><\/span>Required Skills Amazon Web Services (AWS)<span class=\"br\"><\/span>Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 {+ 32 more}<span class=\"br\"><\/span>Desired Languages (If blank, desired languages not specified)<span class=\"br\"><\/span><b>Travel Requirements<\/b><span class=\"br\"><\/span>Available for Work Visa Sponsorship?<span class=\"br\"><\/span>Government Clearance Required?<span class=\"br\"><\/span>Job Posting End Date<\/p>\n<p><center><b><a rel=\"nofollow noopener\" href=\"https:\/\/jobviewtrack.com\/v2\/ZgBbB2NqR4D1y1iv6w5iQgICWiVn8wDEuurtY9nI870_d35dLWZPU5C7ak0DAlfxv9hYn8L4-I1srBtmgV0XsvPzguWAUeQwVSYNgVF6oBQoFq8Z22Wo-SImLGjp9SNHxF9X6nIEYm6mtrff0RG-168jshRhOjZmyWOIevF3rdw0hxXmbBPvgWWjy2t84-cEXQBbcnjzQPs9Ze2ygKrK8g?affid=1e18623d919a855447a16dd0557b1bec\" class=\"button purchase\" target=\"_blank\">Apply Now<\/a> <\/b><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Line of Service Advisory Industry\/Sector Not Applicable Specialism Data, Analytics &#038; AI Management Level Manager Job Description &#038; 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<\/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_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[73],"tags":[],"class_list":["post-5403","post","type-post","status-publish","format-standard","hentry","category-aws-jobs"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"jetpack-related-posts":[],"jetpack_shortlink":"https:\/\/wp.me\/pgs0IK-1p9","_links":{"self":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/5403","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=5403"}],"version-history":[{"count":0,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/posts\/5403\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/media?parent=5403"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/categories?post=5403"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whitehattoolbox.com\/jobsinindia\/wp-json\/wp\/v2\/tags?post=5403"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}