10 Gcp Bigquery Jobs

Job Title: GCP Developer (Google BigQuery) Senior Developer Location: Offshore (Remote) Experience: 5+ Years Type: Full-Time Job Summary: We are looking for experienced Senior GCP Developers with strong expertise in Google BigQuery , ETL development , and SQL , to work on complex application design and development activities. Candidates must be capable of independently resolving technical issues, managing tickets, and mentoring junior team members. Experience with Linux , SSIS , and Power BI is an added advantage based on role requirements. Key Responsibilities: Design and develop complex architecture components and BigQuery-based solutions Lead a small team of developers in programming, configuring, and testing activities Troubleshoot and resolve medium to complex issues and performance bottlenecks Monitor and resolve assigned support tickets and service requests Conduct code reviews and mentor junior developers Ensure timely delivery and quality of deliverables Collaborate with cross-functional teams for end-to-end development Required Skills & Experience: Strong hands-on experience in Google BigQuery development Proficiency in ETL processes , SQL , and data modeling Experience working in Linux environments (preferred) SSIS package development and troubleshooting or Power BI dashboard/report development Good communication and problem-solving skills Experience managing development tasks independently in an offshore model

Offshore Senior Developer: o Performs detailed design of complex applications and complex architecture components o May lead a small group of developers in configuring, programming, and testing o Fixes medium to complex defects and resolves performance problems o Accountable for service commitments at the individual request level for in-scope applications o Monitors, tracks, and participates ticket resolution for assigned tickets o Manages code reviews and mentors other developers Skill/Experience/Education Mandatory Skills Google Big Query development; ETL; SQL, Linux (Preferable); SSIS package building & troubleshooting; advanced data modeling

KEY ACCOUNTABILITIES Learn Supply Chain business processes, deep dive into Sourcing processes Develop deep knowledge into Data driven Sourcing decision optimization Spend Analysis and Should cost modelling for General Mills and sourcing value through projects Serve as the Technical SME on technology for GMI Supply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Partner in developing new capabilities around specific Sourcing areas like Spend Analysis and Intelligent Should Cost Modelling that leverage the Cloud / SAAS platforms / AI Proactive learning mindset Gather project requirements from internal business clients/users; identify and eliminate gaps via partnership with DT architects and AI teams; translate requirements into technical documents; and communicate throughout the entire development process. Use external perspective and internal relationships to improve how we work and what we deliver keep abreast of what is happening within the Digital supply chain space. MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university. Full time Bachelor s/master s degree in computer science/electronics, or any equivalent relevant discipline is preferred. (Mandatory- Note: This is the minimum education criteria which cannot be altered) 7+ years of strong technical experience with Web based/Cloud Database technologies. 4+ years of as technical Analyst in requirements gathering, implementing, supporting IT /software solution. Strong knowledge of Sourcing and Procurement processes Experience in delivering value through Spend Analysis / Should Cost Modelling techniques, data/AI driven automation within Supply chain Strong working knowledge of various Sourcing/ Procurement related tools platforms, preferably SAP, Coupa, Palantir, GCP Strong verbal and written communication skills Solution oriented mindset with strong problem-solving analytical skills Experience of leading driving technical projects or teams PREFERRED QUALIFICATIONS Recent Hands-on experience on projects involving GCP Analytics Experience with real time system/data integrations, ETL reporting technologies Team player, self-driven individual. Strong knowledge/Experience of SDLC with an Agile/SCRUM delivery experience Expert: Problem Solving, Analytical/Data Skills, SQL , GCP-Big query Intermediate: Data Lake, Data Warehousing, GCP Basic: Palantir, BI Tools, Tableau / Google Data Studio, DevOps /CI CD

KEY ACCOUNTABILITIES Learn Supply Chain business processes. Partner with business SMEs and D&T peers to learn the Supply Chain data needed to drive Data & Analytics for SC Understand the DnA Cloud technology and how it connects current capabilities and shapes future capabilities. Serve as the technical SME on technology for GMI SC teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Gather project requirements from internal business clients; identify and eliminate gaps via partnership with D&T architects; translate requirements into technical documents; and communicate throughout the entire development process. Partner with our SC business teams in development of new capabilities that leverage the Cloud, AI. Examples include Digital Twin, Control Tower, Predictive Capabilities, Real-time alerting. Superior capabilities in data analysis with a passion for data science, AI, and ML. Proactive learning mindset with a passion to increase your skill on DnA capabilities. Use external perspective and internal relationships to improve how we work and what we deliver keep abreast of what is happening within the digital supply chain space. MINIMUM QUALIFICATIONS 10+ years of overall experience with 7+ years of relevant experience in a data or business analyst position Bachelor s/Master s degree in computer science/Electronics/ Software Engineering, or equivalent relevant discipline Advanced knowledge and strong /recent experience with writing SQL Effective verbal and written communication and influencing skills at the tactical level Strong problem-solving abilities and attention to detail Can do, positive attitude and commitment to a team delivery approach Broad understanding of Enterprise Data warehousing & Analytics PREFERRED QUALIFICATIONS 2+ years experience with GCP Big Query, Cloud Storage desired Familiarity with ADO and Agile-Scrum Comfortable presenting to senior leaders Experience in FMCG/Supply Chain domain Experience in SAP Supply Chain

KEY ACCOUNTABILITIES Drive projects along Supply Chain business processes; deep knowledge and working experience into Sourcing and External Supply Chain Management Serve as the technical SME on technology for GMI Supply Chain teams, uncovering key business questions and providing analysis, insights, and solutions to answer them. Work as an SME to define project requirements in collaboration with internal business clients/users; Establish best in industry practices for sourcing tools and eliminate gaps via partnership with D&T architects; communicate throughout the entire development process. Partner in developing new capabilities that leverage the Cloud /SAAS platforms. Work with a leadership mindset to own Sourcing / External Supply Chain Management processes Use external perspective and internal relationships to improve how we work and what we deliver keep abreast of what is happening within the Digital sourcing space. MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university. Full time Bachelor s/master s degree in computer science/electronics, or any equivalent relevant discipline is preferred (Mandatory- Note: This is the minimum education criteria which cannot be altered) 10+ years of strong technical experience with Web based/ Cloud & Database technologies 5+ years of as Functional and Technical Analyst in requirements gathering, implementing, supporting IT /software solution. Strong Functional knowledge of Sourcing / Supply Chain processes especially in Global CPG/ FMCG industry Strong working knowledge of various Sourcing/ Procurement related tools & platforms, preferably SAP, Coupa, GCP Working knowledge of Generative AI/Intelligent Automation in Sourcing / Contract insights Strong verbal and written communication skills Solution oriented mindset with strong problem-solving & analytical skills Experience of leading & driving technical projects or teams PREFERRED QUALIFICATIONS Recent Hands-on experience with Supply Chain /ESC External Supply Chain Procurement/Finance transformation tools, platforms, process etc. Experience with real time system/data integrations, ETL & reporting technologies Excellent stakeholder management skills including leadership & vendors. Team player, self-driven individual. Ability to deal with ambiguous ask & situations Strong knowledge/Experience of SDLC with an Agile/SCRUM delivery experience Expert: SQL , ETL tech, Sourcing / External Supply Chain Processes, Problem Solving Intermediate: Data Lake / Warehousing, Analytical / Data Skills, Generative AI /Intelligent Automation, GCP-Bigquery Basic: Cloud, Tableau / Google Data Studio, SAP MM, DevOps CI/CD

Senior Application Developer with GCP experience in BigQuery, SQL, CloudRun Re-design and re-platform legacy Revenue Allocation system Mandatory: GCP BigQuery, SQL, CloudRun, Linux Shell Scripting, Kafka, MQ Series, Oracle PL/SQL

What Youll Do: Play a key role in developing and driving a multi-year technology strategy for a complex platform Directly and indirectly manage several senior software engineers (architects) and managers by providing coaching, guidance, and mentorship to grow the team as well as individuals Lead multiple software development teams - architecting solutions at scale to empower the business, and owning all aspects of the SDLC: design, build, deliver, and maintain Inspire, coach, mentor, and support your team members in their day to day work and their long term professional growth Attract, onboard, develop and retain diverse top talents, while fostering an inclusive and collaborative team and culture (our latest DEI Report) Lead your team and peers by example. As a senior member of the team your methodologies, technical and operational excellence practices, and system designs will help to continuously improve our domain Identify, propose, and drive initiatives to advance the technical skills, standards, practices, architecture, and documentation of our engineering teams Facilitate technical debate and decision making with an appreciation for trade-offs Continuously rethink and push the status quo, even when it challenges your/our established ideas. Preferred candidate profile Results-oriented, collaborative, pragmatic, and continuous improvement mindset Hands-on experience driving software transformations within high-growth environments (think complex, cross-continentally owned products) 15+ years of experience in engineering, out of which at least 10 years spent in leading highly performant teams and their managers (please note that a minimum of 5 years in leading fully fledged managers is required) Experience making architectural and design-related decisions for large scale platforms, understanding the tradeoffs between time-to-market vs. flexibility Significant experience and vocation in managing and enabling peoples growth and performance Experience designing and building high-scale generalizable products with outstanding user experience. Practical experience in hiring and developing engineering teams and culture and leading interdisciplinary teams in a fast-paced agile environment Capability to communicate and collaborate across the wider organization, influencing decisions with and without direct authority and always with inclusive, adaptable, and persuasive communication Analytical and decision-making skills that integrate technical and business requirements

Role Overview We are seeking a talented ETL Engineer to design, implement, and maintain end-to-end data ingestion and transformation pipelines in Google Cloud Platform (GCP). This role will collaborate closely with data architects, analysts, and BI developers to ensure high-quality, performant data delivery into BigQuery and downstream Power BI reporting layers. Key Responsibilities Data Ingestion & Landing Architect and implement landing zones in Cloud Storage for raw data. Manage buckets/objects and handle diverse file formats (Parquet, Avro, CSV, JSON, ORC). ETL Pipeline Development Build and orchestrate extraction, transformation, and loading workflows using Cloud Data Fusion. Leverage Data Fusion Wrangler for data cleansing, filtering, imputation, normalization, type conversion, splitting, joining, sorting, union, pivot/unpivot, and format adjustments. Data Modeling Design and maintain fact and dimension tables using Star and Snowflake schemas. Collaborate on semantic layer definitions to support downstream reporting. Load & Orchestration Load curated datasets into BigQuery across different zones (raw, staging, curated). Develop SQL-based orchestration and transformation within BigQuery (scheduled queries, scripting). Performance & Quality Optimize ETL jobs for throughput, cost, and reliability. Implement monitoring, error handling, and data quality checks. Collaboration & Documentation Work with data analysts and BI developers to understand requirements and ensure data readiness for Power BI. Maintain clear documentation of pipeline designs, data lineage, and operational runbooks. Required Skills & Experience Bachelors degree in Computer Science, Engineering, or related field. 3+ years of hands-on experience building ETL pipelines in GCP. Proficiency with Cloud Data Fusion , including Wrangler transformations. Strong command of SQL , including performance tuning in BigQuery. Experience managing Cloud Storage buckets and handling Parquet, Avro, CSV, JSON, and ORC formats. Solid understanding of dimensional modeling: fact vs. dimension tables, Star and Snowflake schemas. Familiarity with BigQuery data zones (raw, staging, curated) and dataset organization. Experience with scheduling and orchestration tools (Cloud Composer, Airflow, or BigQuery scheduled queries). Excellent problem-solving skills and attention to detail. Preferred (Good to Have) Exposure to Power BI data modeling and DAX. Experience with other GCP services (Dataflow, Dataproc). Familiarity with Git, CI/CD pipelines, and infrastructure as code (Terraform). Knowledge of Python for custom transformations or orchestration scripts. Understanding of data governance best practices and metadata management.

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India (Hyderabad, Pune & Bangalore). Location: Gurgaon/Pune/Hyderabad/Bengaluru/Chennai Work Mode: Hybrid (2-3 days office in a week) Job Description: 5-14 Years of in Big Data & Data related technology experience Expert level understanding of distributed computing principles Expert level knowledge and experience in Apache Spark Hands on programming with Python Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming Good understanding of Big Data querying tools, such as Hive, and Impala Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files Good understanding of SQL queries, joins, stored procedures, relational schemas Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Knowledge of ETL techniques and frameworks Performance tuning of Spark Jobs Experience with native Cloud data services AWS/Azure/GCP Ability to lead a team efficiently Experience with designing and implementing Big data solutions Practitioner of AGILE methodology WE OFFER Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: • Health benefits, Medical Benefits• Retirement benefits• Paid time off• Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc

Night Shift: 9:00PM to 6:00AM Hybrid Mode: 3 days WFO & 2 Days WFH Job Overview We are looking for a savvy Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder using Python and data wrangler who enjoys optimizing data systems and building them from the ground up. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Responsibilities for Data Engineer * Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements using Python and SQL / AWS / Snowflakes. * Identify, design, and implement internal process improvements through: automating manual processes using Python, optimizing data delivery, re-designing infrastructure for greater scalability, etc. * Build the infrastructure required for optimal extraction, transformation, and loading ofdata from a wide variety of data sources using SQL / AWS / Snowflakes technologies. * Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. * Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. * Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. * Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications for Data Engineer * Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. * Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. * Strong analytic skills related to working with unstructured datasets. * Build processes supporting data transformation, data structures, metadata, dependency and workload management. * A successful history of manipulating, processing and extracting value from large disconnected datasets. Desired Skillset:- * 2+ years of experience in a Python Scripting and Data specific role, with Bachelor degree. * Experience with data processing and cleaning libraries e.g. Pandas, numpy, etc., web scraping/ web crawling for automation of processes, APIs and how they work. * Debugging code if it fails and find the solution. Should have basic knowledge of SQL server job activity monitoring and of Snowflake. * Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra. * Experience with most or all the following cloud services: AWS, Azure, Snowflake,Google Strong project management and organizational skills. * Experience supporting and working with cross-functional teams in a dynamic environment.