IN_Senior Associate_GCP Data Engineer_D&A_Advisory_PAN India

<p><span style="font-size:18px;color:rgb(0,0,0);font-family:Cambria;"><b>Job Description & Summary:</b></span></p><div id="copilot-message-_r_gb_" class="fai-CopilotMessage__content r1izxv8h ___7qar2c0 fcthzvy" style="color:rgb(0,0,0);font-family:'Segoe UI';"><div><div class="___1vve6yh f22iagw f1vx9l62 f122n59 f3bhgqh f1mnxvew fly5x3f"><div class="___j4vmuw0 f22iagw f1vx9l62 f1869bpl fly5x3f fbc6vix"><div><div id="response-id_r_g9_" class="___1yop6mf f336tjw f9ijwd5 fz7g6wx fod5ikn f1s184ao"><div class="___1peis63 f22iagw f1063pyq f6jr5hl f1c88k3p"><div class="___4htdyp0 fz7g6wx fy77jfu"><div class="___1j4t0a1 f1lmfglv f1abmfm4"><div class="___nfp7g60 f22iagw f1vx9l62 fkmyikg fk15e71 f1k953kz f137keqj f1rncccw f1stllg3 f1w4kmmc f1tric3v f10dk5ic fx8cdsv f16nlwsl f1eookvz fhjrts3 fqugt2f f18d18k8 f1v1vhmp f1hdmul3 f198vjnp f2dshw1 fjpjndq fnmj2pj ffrrb40 f1mon110 fhajzam fimndk6 fxv4dng fb1rn9k f59wlhv f1xmfh30 f18yf5o5 fmr6chf fw8qy2q ff161sd f1qr7t77 f1yyogn1 foogchg fp5872b f1tpb8gf f1hdgrc8 f1vatr43 frkxccd f9pdzkb f158oiaz ft5kggy f5l4ui7 f13j03li f18xdoka f8off4e f1go6zfc f128n2ra f1jpxw2j f1lwd9n0 fy0b8hm f1g2633v fx4kvgi fkvolse f1gxrt3a f1os76ua f1js9cnw f1g87ej0 freluf8 f1yggaq6 f2i3chp f1151osp florpoh f35kzfz ftp9m57 f1e288vi fz62hnz fixvuys f1nmofwh fc1c6mv f18a2er7 fhvkrdl fhxnn68 f1oce4bo fvhlfan f7tc0t0 f1ngf1n2 ffrzq6x f1yjiq2m f1aqdgql f1huvaf f10ij78l f1k94sa4 fkmfumq f1jvzkyl f1eu24ob f1xbfc1f fmf0lwf f107dsy8 f3w566c f4648sl f13zpkng f7unjfp f8p1rz fzu6h1w f1i1bi6h f1smo7hi f1sk1xod f1kgogdq f1gjktkp ft608jz f1o9wiiv fg3xr24 fhd155k f1b8gl2e fg4b9ou flb4lo fdicbfk fgwcyh1 f1jbds0d f1fb9uea f1stuka4 fcrtu6g fwqh0xn f11w66yg f6e0e65 f1vvgu0 f1607507 fgct6un f1ec1nbe fg3fpv7 f1m9bycv f1ntoah8 f1b694rt faql4r2 fpjuhzh fmavl6h f1d9bsk fmzhlt0 f145l92p fwkyaqm f129obh1 f19la9g f127w39w fr0ux9m fxhidck f1cu4h9j f1wnbo7v f1eueg4z fy9c24f f1h2o91j f1iw08fq f19n0e5"><p><span style="font-family:Cambria;">PwC India is seeking a proficient </span><strong><span style="font-family:Cambria;">GCP Data Engineer</span></strong><span style="font-family:Cambria;"> with hands-on experience in designing, developing, and maintaining scalable data platforms and data engineering solutions on </span><strong><span style="font-family:Cambria;">Google Cloud Platform (GCP)</span></strong><span style="font-family:Cambria;">. This role involves working with enterprise-scale data ecosystems to enable advanced analytics, data warehousing, data transformation, and cloud modernization initiatives. The candidate will work closely with business stakeholders, architects, and analytics teams to deliver high-quality data solutions that drive business intelligence and data-driven decision-making.</span></p><p><br /></p><p><strong><span style="font-family:Cambria;">Job Position Title: </span></strong><span style="font-family:Cambria;">IN_Senior Associate_GCP Data Engineer_D&A_Advisory_PAN India</span></p><p><br /></p><h3><span style="font-size:18px;font-family:Cambria;"><b>Responsibilities:</b></span></h3><h3><span style="font-size:18px;font-family:Cambria;"><b><br /></b></span></h3><h3></h3><ul style="color:rgb(36,36,36);font-family:'Times New Roman';font-size:medium;"><li><span style="font-family:Cambria;">Design, develop, and optimize scalable batch and real-time data pipelines using Google Cloud Platform services such as Dataflow, Dataproc, Pub/Sub, and BigQuery.</span></li><li><span style="font-family:Cambria;">Develop and implement cloud-native ETL/ELT frameworks for ingesting, transforming, and processing large volumes of structured and unstructured data.</span></li><li><span style="font-family:Cambria;">Architect and support enterprise data warehousing solutions using BigQuery, ensuring performance optimization, scalability, security, and cost efficiency.</span></li><li><span style="font-family:Cambria;">Collaborate with business analysts, data scientists, solution architects, and stakeholders to understand business requirements and translate them into robust data solutions.</span></li><li><span style="font-family:Cambria;">Build and maintain automated data ingestion frameworks from multiple source systems including databases, APIs, files, and streaming platforms.</span></li><li><span style="font-family:Cambria;">Develop and manage orchestration workflows using Cloud Composer (Apache Airflow) or other scheduling tools.</span></li><li><span style="font-family:Cambria;">Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, data quality, and operational efficiency.</span></li><li><span style="font-family:Cambria;">Implement data governance, metadata management, lineage tracking, and security best practices using GCP-native capabilities.</span></li><li><span style="font-family:Cambria;">Leverage Google Cloud Storage (GCS), BigQuery, Dataproc, Pub/Sub, and Dataflow to build modern cloud data platforms.</span></li><li><span style="font-family:Cambria;">Develop reusable data engineering frameworks and accelerate cloud migration and modernization initiatives.</span></li><li><span style="font-family:Cambria;">Document technical designs, data architecture diagrams, operational procedures, and implementation best practices.</span></li><li><span style="font-family:Cambria;">Stay updated on emerging GCP technologies and recommend innovative solutions to improve data engineering capabilities.</span></li></ul><p><br /></p><div style="font-size:14px;line-height:20px;"><span style="font-size:18px;font-family:Cambria;"><b>Mandatory Skill Sets:</b></span></div><div style="font-size:14px;line-height:20px;"><span style="font-size:18px;font-family:Cambria;"><b><br /></b></span></div><div style="font-size:14px;line-height:20px;"><br /></div><div style="font-size:14px;line-height:20px;"><ul style="color:rgb(36,36,36);font-family:'Times New Roman';font-size:medium;"><li><span style="font-family:Cambria;">Hands-on experience with Google Cloud Platform (GCP) data engineering services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Cloud Composer.</span></li><li><span style="font-family:Cambria;">Strong expertise in BigQuery data warehousing, including query optimization, partitioning, clustering, security, and performance tuning.</span></li><li><span style="font-family:Cambria;">Experience building scalable ETL/ELT pipelines using Dataflow (Apache Beam) and other GCP-native data integration services.</span></li><li><span style="font-family:Cambria;">Strong proficiency in SQL and Python for data transformation, automation, and pipeline development.</span></li><li><span style="font-family:Cambria;">Hands-on experience with cloud-based data lake and modern data platform architectures.</span></li><li><span style="font-family:Cambria;">Strong understanding of data modeling concepts, dimensional modeling, data warehousing principles, and ETL/ELT best practices.</span></li><li><span style="font-family:Cambria;">Experience with workflow orchestration tools such as Cloud Composer (Apache Airflow).</span></li><li><span style="font-family:Cambria;">Knowledge of CI/CD practices, source code management, and deployment automation.</span></li><li><span style="font-family:Cambria;">Understanding of data security, governance, compliance, and access management within GCP environments.</span></li><li><span style="font-family:Cambria;">Strong analytical, problem-solving, and stakeholder management skills.</span></li></ul><p><br /></p><div style="line-height:20px;"><span style="font-size:18px;font-family:Cambria;"><b>Preferred Skill Sets:</b></span></div><div style="line-height:20px;"><span style="font-size:18px;font-family:Cambria;"><b><br /></b></span></div><div style="line-height:20px;"><br /></div><div style="line-height:20px;"><ul style="color:rgb(36,36,36);font-family:'Times New Roman';font-size:medium;"><li><span style="font-family:Cambria;">Google Cloud Professional Data Engineer Certification.</span></li><li><span style="font-family:Cambria;">Experience with Spark, Hadoop, Databricks, or other Big Data processing frameworks.</span></li><li><span style="font-family:Cambria;">Hands-on experience with real-time streaming architectures using Pub/Sub, Kafka, or similar technologies.</span></li><li><span style="font-family:Cambria;">Exposure to containerization and orchestration technologies such as Docker, Kubernetes, and Google Kubernetes Engine (GKE).</span></li><li><span style="font-family:Cambria;">Experience with Infrastructure as Code (IaC) tools such as Terraform for GCP resource provisioning and management.</span></li><li><span style="font-family:Cambria;">Working knowledge of DevOps and DataOps practices for enterprise-scale implementations.</span></li><li><span style="font-family:Cambria;">Experience integrating BigQuery with reporting and visualization platforms such as Power BI, Tableau, or Looker.</span></li><li><span style="font-family:Cambria;">Knowledge of Snowflake on GCP and cloud migration strategies.</span></li><li><span style="font-family:Cambria;">Prior consulting or client-facing experience in domains such as Financial Services, Retail, Healthcare, Manufacturing, or Technology.</span></li></ul></div><div style="line-height:20px;"><br /></div></div><h3><span style="font-family:Cambria;"><b><span style="font-size:18px;">Years of Experience Required:</span> </b></span><span style="font-size:14px;font-family:Cambria;">4-7 Years</span></h3><h3><span style="font-family:Cambria;"><span style="font-size:14px;"><b>Education Qualification:</b></span> </span><span style="font-size:14px;font-family:Cambria;">BE / B.Tech / MCA / MBA / M.Tech </span></h3></div></div></div></div></div></div></div></div></div></div>