721 Bigquery Jobs - Page 2

Key Responsibilities Set up and maintain monitoring dashboards for ETL jobs using Datadog, including metrics, logs, and alerts. Monitor daily ETL workflows and proactively detect and resolve data pipeline failures or performance issues. Create Datadog Monitors for job status (success/failure), job duration, resource utilization, and error trends. Work closely with Data Engineering teams to onboard new pipelines and ensure observability best practices. Integrate Datadog with tools. Conduct root cause analysis of ETL failures and performance bottlenecks. Tune thresholds, baselines, and anomaly detection settings in Datadog to reduce false positives. Document incident handling procedures and contribute to improving overall ETL monitoring maturity. Participate in on call rotations or scheduled support windows to manage ETL health. Required Skills & Qualifications 3+ years of experience in ETL/data pipeline monitoring, preferably in a cloud or hybrid environment. Proficiency in using Datadog for metrics, logging, alerting, and dashboards. Strong understanding of ETL concepts and tools (e.g., Airflow, Informatica, Talend, AWS Glue, or dbt). Familiarity with SQL and querying large datasets. Experience working with Python, Shell scripting, or Bash for automation and log parsing. Understanding of cloud platforms (AWS/GCP/Azure) and services like S3, Redshift, BigQuery, etc. Knowledge of CI/CD and DevOps principles related to data infrastructure monitoring. Preferred Qualifications Experience with distributed tracing and APM in Datadog. Prior experience monitoring Spark, Kafka, or streaming pipelines. Familiarity with ticketing tools (e.g., Jira, ServiceNow) and incident management workflows.

To be successful in this role, you should meet the following requirements(Must have ) Expertise in Conceptual/ Logical/Physical Data Modeling. Payments and Banking experience is a must. Database Design Database TypeRelational, NoSQL, DocumentDB DatabasesOracle, PostgreSQL, BigQuery, Big Table, MongoDB, Neo4j ToolsErwin, Visual Paradigm Solid experience in PL/SQL, Python, Unix Shell scripting, Java. Domain experience across the payments and banking lifecycle. An analytical mind and inclination for problem-solving, with an attention to detail. Sound knowledge of payments workflows and statuses across various systems within a large global bank. Experience in collecting large data sets, identifying patterns and trends in data sets. Overall experience of 10+ years, with considerable experience in Big Data and Relational Database. Prior experience across requirements gathering, build and implementation, stakeholder co-ordination, release management and production support. Ability to effectively navigate and deliver transformation programmes in large global financial organisations, amidst the challenges posed by bureaucracy, globally distributed teams and local data regulations. Strong communication skills coupled with presentation skills of complex information and data Strong communication skills coupled with presentation skills of complex information and data. A first-class degree in Engineering or relevant field with 2 or more of the following subjects as a major Mathematics, Computer Science, Statistics, Economics. The successful candidate will also meet the following requirements(Good to have ) Understanding of DevOps and CI tools (Jenkins, Git, Grunt, Bamboo, Artifactory) would be an added advantage. Experience in Agile methodology and leading agile delivery, aligned with organisational needs. Effective leader as well as team player with a strong commitment to quality and efficiency.

EXP LevelSoftware Developer II - 4Yrs - 6Yrs - TECHNICAL SETS: Development experience using Python (Python is must-have) Expertise in Java Script / Type Script, UI frameworks (Preferably AngularJS) Hands-on experience with solution design, customization, and deployment on Google Cloud Platform (GCP) Data Gathering with BigQuery SQL - (not must have) Data Visualization with Looker Studio or Tableau - (not must have) Expertise with SDLC tools and processes including GitHub, Jenkins, Maven or Gradle Min of 1+ yrs of experience in refactoring code, debugging and building tools Excellent understanding of computer science fundamentals data structures and algorithms Development/ consumption experience in RESTful Web Services/ any other open source APIs Experience in understanding System design and implementation Write Unit Tests and Documentation Working knowledge with Agile/ scrum/ Jira (any similar tool) Overlap required with EST hours (at least until mid-day EST)

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with teams to design and develop innovative solutions for business needs. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead design discussions and provide technical guidance to the team- Conduct code reviews and ensure adherence to coding standards- Stay updated on industry trends and technologies to drive innovation Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery- Strong understanding of data modeling and database design- Experience with cloud-based data warehousing solutions- Hands-on experience in ETL processes and data integration- Knowledge of SQL and query optimization techniques Additional Information:- The candidate should have a minimum of 5 years of experience in Google BigQuery- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

Design and develop conceptual, logical, and physical data models for enterprise and application-level databases. Translate business requirements into well-structured data models that support analytics, reporting, and operational systems. Define and maintain data standards, naming conventions, and metadata for consistency across systems. Collaborate with data architects, engineers, and analysts to implement models into databases and data warehouses/lakes. Analyze existing data systems and provide recommendations for optimization, refactoring, and improvements. Create entity relationship diagrams (ERDs) and data flow diagrams to document data structures and relationships. Support data governance initiatives including data lineage, quality, and cataloging. Review and validate data models with business and technical stakeholders. Provide guidance on normalization, denormalization, and performance tuning of database designs. Ensure models comply with organizational data policies, security, and regulatory requirements.

Experience 8+ years Data Engineering experience. 3+ years experience of cloud platform services (preferably GCP) 2+ years hands-on experience on Pentaho. Hands-on experience in building and optimizing data pipelines and data sets. Hands-on experience with data extraction and transformation tasks while taking care of data security, error handling and pipeline performance. Hands-on experience with relational SQL (Oracle, SQL Server or MySQL) and NoSQL databases . Advance SQL experience - creating, debugging Stored Procedures, Functions, Triggers and Object Types in PL/SQL Statements. Hands-on experience with programming languages - Java (mandatory), Go, Python. Hands-on experience in unit testing data pipelines. Experience in using Pentaho Data Integration (Kettle/Spoon) and debugging issues. Experience supporting and working with cross-functional teams in a dynamic environment. Technical Skills Programming & LanguagesJAVA Database TechOracle, Spanner, BigQuery, Cloud Storage Operating SystemsLinux Good knowledge and understanding of cloud based ETL framework and tools. Good understanding and working knowledge of batch and streaming data processing. Good understanding of the Data Warehousing architecture. Knowledge of open table and file formats (e.g. delta, hudi, iceberg, avro, parquet, json, csv) Strong analytic skills related to working with unstructured datasets. Excellent numerical and analytical skills. Responsibilities Design and develop various standard/reusable to ETL Jobs and pipelines. Work with the team in extracting the data from different data sources like Oracle, cloud storage and flat files. Work with database objects including tables, views, indexes, schemas, stored procedures, functions, and triggers. Work with team to troubleshoot and resolve issues in job logic as well as performance. Write ETL validations based on design specifications for unit testing Work with the BAs and the DBAs for requirements gathering, analysis, testing, metrics and project coordination.

Tech stack GCP Data Fusion, BigQuery, Dataproc, SQL/T-SQL, Cloud Run, Secret Manager Git, Ansible Tower / Ansible scripts, Jenkins, Java, Python, Terraform, Cloud Composer/Airflow Experience and Skills Must Have Proven (3+ years) hands on experience in designing, testing, and implementing data ingestion pipelines on GCP Data Fusion, CDAP or similar tools, including ingestion and parsing and wrangling of CSV, JSON, XML etc formatted data from RESTful & SOAP APIs, SFTP servers, etc. Modern world data contract best practices in-depth understanding with proven experience (3+ years) for independently directing, negotiating, and documenting best in class data contracts. Java (2+ years) experience in development, testing and deployment (ideally custom plugins for Data Fusion) Proficiency in working with Continuous Integration (CI), Continuous Delivery (CD) and continuous testing tools, ideally for Cloud based Data solutions. Experience in working in Agile environment and toolset. Strong problem-solving and analytical skills Enthusiastic willingness to learn and develop technical and soft skills as needs require rapidly and independently. Strong organisational and multi-tasking skills. Good team player who embraces teamwork and mutual support. Nice to Have Hands on experience in Cloud Composer/Airflow, Cloud Run, Pub/Sub Hands on development in Python, Terraform Strong SQL skills for data transformation, querying and optimization in BigQuery, with a focus on cost, time-effective SQL coding and concurrency/data integrity (ideally in BigQuery dialect) Data Transformation/ETL/ELT pipelines development, testing and implementation ideally in Big Query Experience in working in DataOps model Experience in Data Vault modelling and usage. Proficiency in Git usage for version control and collaboration. Proficiency with CI/CD processes/pipelines designing, creation, maintenance in DevOps tools like Ansible/Jenkins etc. for Cloud Based Applications (Ideally GCP)

1. ETLHands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica 2. Big DataExperience of big data platforms such as Hadoop, Hive or Snowflake for data storage and processing 3. Data Warehousing & Database ManagementUnderstanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design 4. Data Modeling & DesignGood exposure to data modeling techniques; design, optimization and maintenance of data models and data structures 5. LanguagesProficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala 6. DevOpsExposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Ab InitioExperience developing CoOp graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, ExpressIT, Data Profiler and ConductIT, ControlCenter, ContinuousFlows CloudGood exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & ControlsExposure to data validation, cleansing, enrichment and data controls ContainerizationFair understanding of containerization platforms like Docker, Kubernetes File FormatsExposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta OthersBasics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage.

We are seeking a skilled and proactive DevOps Engineer with deep expertise in Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), and on-premises Kubernetes platforms like OpenShift. The ideal candidate will have a strong foundation in Infrastructure as Code (IaC) using Terraform, and a solid understanding of cloud-native networking, service meshes (e.g., Istio), and CI/CD pipelines. Experience with DevSecOps practices and security tools is highly desirable. Key Responsibilities Design, implement, and manage scalable infrastructure on GCP (especially GKE google Kubernetes environment) and on-prem Kubernetes (OpenShift). Develop and maintain Terraform modules for infrastructure provisioning and configuration. Troubleshoot and resolve complex issues related to networking, Istio, and Kubernetes clusters. Build and maintain CI/CD pipelines using tools such as Jenkins, Codefresh, or GitHub Actions. Integrate and manage DevSecOps tools such as Blackduck, Checkmarx, Twistlock, and Dependabot to ensure secure software delivery. Collaborate with development and security teams to enforce security best practices across the SDLC. Support and configure WAFs and on-prem load balancers as needed. Required Skills & Qualifications: 5+ years of experience in a DevOps or Site Reliability Engineering role. Proficiency in GCP and GKE, with hands-on experience in OpenShift or similar on-prem Kubernetes platforms. Strong experience with Terraform and managing cloud infrastructure as code. Solid understanding of Kubernetes networking, Istio, and service mesh architectures. Experience with at least one CI/CD toolJenkins, Codefresh, or GitHub Actions. Familiarity with DevSecOps tools such as Black Duck, Checkmarx, Twistlock, and Dependabot. Strong Linux administration and scripting skills. Nice to Have: Experience with WAFs and on-prem load balancers. Familiarity with monitoring and logging tools (e.g., Prometheus, ELK stack, Dynatrace, Splunk). Knowledge of container security and vulnerability scanning best practices. Familiarity with GenAI, Google Vertex AI in Google Cloud.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform, Engineering Expertise, Data Lakehouse Development Good to have skills : Google BigQueryMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive project success. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the needs of the organization and its clients. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Google BigQuery.- Strong understanding of data integration and ETL processes.- Experience with cloud-based data solutions and architecture.- Familiarity with data governance and compliance standards. Additional Information:- The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Google BigQuery Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process, coordinating with team members, and ensuring project milestones are met. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely delivery of project milestones- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery- Strong understanding of data analytics and visualization- Experience with cloud-based data warehousing solutions- Hands-on experience in designing and implementing scalable applications- Knowledge of data security and compliance standards Additional Information:- The candidate should have a minimum of 7.5 years of experience in Google BigQuery- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Google BigQuery Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery- Strong understanding of data analytics and visualization- Experience with cloud-based data platforms- Hands-on experience in data modeling and optimization- Knowledge of SQL and database management Additional Information:- The candidate should have a minimum of 7.5 years of experience in Google BigQuery- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxIntuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

As an Application Developer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader. Come to IBM and make a global impact! IBM’s Cloud Services are focused on supporting clients on their cloud journey across any platform to achieve their business goals. It encompasses Cloud Advisory, Architecture, Cloud Native Development, Application Portfolio Migration, Modernization, and Rationalization as well as Cloud Operations. Cloud Services supports all public/private/hybrid Cloud deployments: IBM Bluemix/IBM Cloud/Red Hat/AWS/ Azure/Google and client private environments. Cloud Services has the best Cloud developer architect Complex SI, Sys Ops and delivery talent delivered through our GEO CIC Factory model. As a member of our Cloud Practice you will be responsible for defining and implementing application cloud migration, modernisation and rationalisation solutions for clients across all sectors. You will support mobilisation and help to lead the quality of our programmes and services, liaise with clients and provide consulting services including: Create cloud migration strategies; defining delivery architecture, creating the migration plans, designing the orchestration plans and more. Assist in creating and executing of migration run books Evaluate source cloud (Physical Virtual and Cloud) and target Workloads Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP. Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation. Expertise in Python coding language Develops data engineering solutions on Google Cloud ecosystem and Supports and maintains data engineering solutions on Google Cloud ecosystem Preferred technical and professional experience Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools. Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices. Troubleshoot and debug issues, and deploy applications to the cloud platform

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxIntuitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Process Manager - GCP Data Engineer Mumbai/Pune| Full-time (FT) | Technology Services Shift Timings - EMEA(1pm-9pm)|Management Level - PM| Travel - NA The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Roles and responsibilities: Participate in Stakeholder interviews, workshops, and design reviews to define data models, pipelines, and workflows. Analyse business problems and propose data-driven solutions that meet stakeholder objectives. Experience on working on premise as well as cloud platform (AWS/GCP/Azure) Should have extensive experience in GCP with a strong focus on Big Query, and will be responsible for designing, developing, and maintaining robust data solutions to support analytics and business intelligence needs. (GCP is preferable over AWS & Azure) Design and implement robust data models to efficiently store,organize,and access data for diverse use cases. Design and build robust data pipelines (Informatica / Fivertan / Matillion / Talend) for ingesting, transforming, and integrating data from diverse sources. Implement data processing pipelines using various technologies, including cloud platforms, big data tools, and streaming frameworks (Optional). Develop and implement data quality checks and monitoring systems to ensure data accuracy and consistency. Technical and Functional Skills: Bachelors Degree with 5+ years of experience with relevant 3+ years hands-on of experience in GCP with BigQuery. Good knowledge of any 1 of the databases scripting platform (Oracle preferable) Work would involve analysis, development of code/pipelines at modular level, reviewing peers code and performing unit testing and owning push to prod activities. With 5+ of work experience and worked as Individual contributor for 5+ years Direct interaction and deep diving with VPs of deployment Should work with cross functional team/ stakeholders Participate in Backlog grooming and prioritizing tasks Worked on Scrum Methodology. GCP certification desired. About eClerx eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. About eClerx Technology eClerxs Technology Group collaboratively delivers Analytics, RPA, AI, and Machine Learning digital technologies that enable our consultants to help businesses thrive in a connected world. Our consultants and specialists partner with our global clients and colleagues to build and implement digital solutions through a broad spectrum of activities. To know more about us, visit https://eclerx.com eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law

Have at least 2 years of experience in Google Cloud platform (especially Big Query ) Experience with Java and Python and Google Cloud SDK & API Scripting Experience of Retail domain will be an added advantage Technical/Functional Skills Experience in interpreting customer business needs and translate those needs into requirements Experience in delivering artifacts such as scripts (Java or Python), dataflow components Experience in dealing with senior member of the business units (within the organization) and product owners Experience in SDLC with emphasis on specifying, building, and testing mission critical business applications Working knowledge of JIRA, Confluence and other Agile work management tools Strong analytical and prioritization skills.

Have at least 2 years of experience in Google Cloud platform (especially Big Query ) Experience with Java and Python and Google Cloud SDK & API Scripting Experience of Finance/Revenue domain will be an added advantage Experience with GCP Migration activities will be an added advantage Experience in interpreting customer business needs and translate those needs into requirements Experience in delivering artifacts such as scripts (Java or Python), dataflow components Experience in dealing with senior member of the business units (within the organization) and product owners Experience in SDLC with emphasis on specifying, building, and testing mission critical business applications Working knowledge of JIRA and other Agile work management tools Strong analytical and prioritization skills

Job Title - Data Scientist and Analytics Level 7:Manager Ind & Func AI Decision Science Manager S&C Management Level:07 - Manager Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills:GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 10+ years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualification Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

Should be capable of developing/configuring data pipelines in a variety of platforms and technologies Possess the following technical skills SQL, Python, Pyspark, Hive, ETL, Unix, Control-M (or similar scheduling tools) Can demonstrate strong experience in writing complex SQL queries to perform data analysis on Databases SQL server, Oracle, HIVE etc. Experience with GCP (particularly Airflow, Dataproc, Big Query) is an advantage Have experience with creating solutions which power AI/ML models and generative AI Ability to work independently on specialized assignments within the context of project deliverables Take ownership of providing solutions and tools that iteratively increase engineering efficiencies Be capable of creating designs which help embed standard processes, systems and operational models into the BAU approach for end-to-end execution of data pipelines Be able to demonstrate problem solving and analytical abilities including the ability to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details and apply sound business and technical domain knowledge Communicate openly and honestly using sophisticated oral, written and visual communication and presentation skills - the ability to communicate efficiently at a global level is paramount Ability to deliver materials of the highest quality to management against tight deadlines Ability to work effectively under pressure with competing and rapidly changing priorities RegardsIT RecruiterIDESLABS (P) LTDsrilakshmi.k@ideslabs.com|

Key Responsibilities: 1. Cloud Infrastructure Management:o Design, deploy, and manage scalable and secure infrastructure on Google Cloud Platform (GCP).o Implement best practices for GCP IAM, VPCs, Cloud Storage, Clickhouse, Superset Apache tools onboarding and other GCP services. 2. Kubernetes and Containerization:o Manage and optimize Google Kubernetes Engine (GKE) clusters for containerized applications.o Implement Kubernetes best practices, including pod scaling, resource allocation, and security policies. 3. CI/CD Pipelines:o Build and maintain CI/CD pipelines using tools like Cloud Build, Stratus, GitLab CI/CD, or ArgoCD.o Automate deployment workflows for containerized and serverless applications. 4. Security and Compliance:o Ensure adherence to security best practices for GCP, including IAM policies, network security, and data encryption.o Conduct regular audits to ensure compliance with organizational and regulatory standards. 5. Collaboration and Support:o Work closely with development teams to containerize applications and ensure smooth deployment on GCP.o Provide support for troubleshooting and resolving infrastructure-related issues. 6. Cost Optimization:o Monitor and optimize GCP resource usage to ensure cost efficiency.o Implement strategies to reduce cloud spend without compromising performance. Required Skills and Qualifications:1. Certifications:o Must hold a Google Cloud Professional DevOps Engineer certification or Google Cloud Professional Cloud Architect certification. 2. Cloud Expertise:o Strong hands-on experience with Google Cloud Platform (GCP) services, including GKE, Cloud Functions, Cloud Storage, BigQuery, and Cloud Pub/Sub. 3. DevOps Tools:o Proficiency in DevOps tools like Terraform, Ansible, Stratus, GitLab CI/CD, or Cloud Build.o Experience with containerization tools like Docker. 4. Kubernetes Expertise:o In-depth knowledge of Kubernetes concepts such as pods, deployments, services, ingress, config maps, and secrets.o Familiarity with Kubernetes tools like kubectl, Helm, and Kustomize. 5. Programming and Scripting:o Strong scripting skills in Python, Bash, or Go.o Familiarity with YAML and JSON for configuration management. 6. Monitoring and Logging:o Experience with monitoring tools like Prometheus, Grafana, or Google Cloud Operations Suite. 7. Networking:o Understanding of cloud networking concepts, including VPCs, subnets, firewalls, and load balancers.8. Soft Skills: o Strong problem-solving and troubleshooting skills.o Excellent communication and collaboration abilities.o Ability to work in an agile, fast-paced environment.

Key Responsibilities: 1. Cloud Infrastructure Management:o Design, deploy, and manage scalable and secure infrastructure on Google Cloud Platform (GCP).o Implement best practices for GCP IAM, VPCs, Cloud Storage, Clickhouse, Superset Apache tools onboarding and other GCP services. 2. Kubernetes and Containerization:o Manage and optimize Google Kubernetes Engine (GKE) clusters for containerized applications.o Implement Kubernetes best practices, including pod scaling, resource allocation, and security policies. 3. CI/CD Pipelines:o Build and maintain CI/CD pipelines using tools like Cloud Build, Stratus, GitLab CI/CD, or ArgoCD.o Automate deployment workflows for containerized and serverless applications. 4. Security and Compliance:o Ensure adherence to security best practices for GCP, including IAM policies, network security, and data encryption.o Conduct regular audits to ensure compliance with organizational and regulatory standards. 5. Collaboration and Support:o Work closely with development teams to containerize applications and ensure smooth deployment on GCP.o Provide support for troubleshooting and resolving infrastructure-related issues. 6. Cost Optimization:o Monitor and optimize GCP resource usage to ensure cost efficiency.o Implement strategies to reduce cloud spend without compromising performance. Required Skills and Qualifications: 1. Certifications:o Must hold a Google Cloud Professional DevOps Engineer certification or Google Cloud Professional Cloud Architect certification. 2. Cloud Expertise:o Strong hands-on experience with Google Cloud Platform (GCP) services, including GKE, Cloud Functions, Cloud Storage, BigQuery, and Cloud Pub/Sub. 3. DevOps Tools:o Proficiency in DevOps tools like Terraform, Ansible, Stratus, GitLab CI/CD, or Cloud Build.o Experience with containerization tools like Docker. 4. Kubernetes Expertise:o In-depth knowledge of Kubernetes concepts such as pods, deployments, services, ingress, config maps, and secrets.o Familiarity with Kubernetes tools like kubectl, Helm, and Kustomize. 5. Programming and Scripting:o Strong scripting skills in Python, Bash, or Go.o Familiarity with YAML and JSON for configuration management. 6. Monitoring and Logging:o Experience with monitoring tools like Prometheus, Grafana, or Google Cloud Operations Suite. 7. Networking:o Understanding of cloud networking concepts, including VPCs, subnets, firewalls, and load balancers.8. Soft Skills: o Strong problem-solving and troubleshooting skills.o Excellent communication and collaboration abilities.o Ability to work in an agile, fast-paced environment.

Greetings from HTC!! Job Description: GCP Data Engineers Job Location: Chennai Job Type: Permanent/ Full Time Shift Timing: General shift/ UK Shift Notice Period: Immediate - 15 Days Experience: 4 to 12 years Skills Required: GCP Data Engineers GCP Data Engineers Big query Data Flow Airflow Pub/Sub SQL Note: If you are interested, please share your updated CV along with the below details to mathankumar.m@htcinc.com Full Name: Total Experience: Relevant Experience: Current CTC: Expected CTC: Official Notice Period: How soon you can join: Reason for Change: About US: HTC Global Services is a leading US based provider of IT solutions and IT enabled services for over two and half decades with headquarters in Troy, Michigan, USA. We are an Inc. 500 Hall of Fame company with 11,000+ employees. Our global presence includes USA, UK, Germany, Australia, Singapore, Malaysia, Indonesia, UAE, and India. Staffed by a team of highly qualified and experienced professionals, HTC offers business specific solutions in the following verticals - Automotive and Manufacturing, Healthcare, Insurance and Finance, Retail, Technology, Publishing, Government, Telecom, and Energy and Utilities. HTC is an ISO 9001, and ISO 27001 certified company with processes compliant to SEI CMM Level 5. Our recent acquisitions include CareTech Healthcare Solutions and Ciber Inc. Our offshore Delivery Centers include Chennai , Hyderabad and Bangalore. HTC is a certified Minority Business Enterprise recognized by the Michigan Business Development Council (MMBDC). Regards Mathan 9600011509

Mandatory skill ETL_GCP_Bigquery Develop, implement, and optimize ETL/ELT pipelines for processing large datasets efficiently. Work extensively with BigQuery for data processing, querying, and optimization. Utilize Cloud Storage, Cloud Logging, Dataproc, and Pub/Sub for data ingestion, storage, and event-driven processing. Perform performance tuning and testing of the ELT platform to ensure high efficiency and scalability. Debug technical issues, perform root cause analysis, and provide solutions for production incidents. Ensure data quality, accuracy, and integrity across data pipelines. Collaborate with cross-functional teams to define technical requirements and deliver solutions. Work independently on assigned tasks while maintaining high levels of productivity and efficiency. Skills Required Proficiency in SQL and PL/SQL for querying and manipulating data. Experience in Python for data processing and automation. Hands-on experience with Google Cloud Platform (GCP), particularly o BigQuery (must-have) o Cloud Storage o Cloud Logging o Dataproc o Pub/Sub Experience with GitHub and CI/CD pipelines for automation and deployment. Performance tuning and performance testing of ELT processes. Strong analytical and debugging skills to resolve data and pipeline issues efficiently. Self-motivated and able to work independently as an individual contributor. Good understanding of data modeling, database design, and data warehousing concepts.

Java, SQL, Spring Boot, and GCP, cloud technologies, building scalable solutions, Big Query, Dataflow, Docker/Kubernetes,