Key Responsibilities ● Deliver structured training sessions and hands-on workshops from 9 AM to 4 PM, Monday to Saturday ● Lead practical labs and live coding demonstrations ● Address technical and conceptual doubts raised by learners during sessions ● Conduct and assess mock tests, coding challenges, and daily tests ● Prepare and enhance training material, exercises, and lab setups ● Monitor student performance, provide individual feedback, and maintain progress reports ● Work closely with the ExcelR and client teams to ensure seamless program execution ● Foster a collaborative, engaging, and motivating learning environment ● Master’s degree (ME/MTech preferred) or BE/BTech with strong industry/domain knowledge ● Minimum 4–5 years of experience in training or industry in one or more of the following areas: ○ Data Science / NLP / Machine Learning / AI ○ Java Data Structures and Algorithms (DSA) ○ Full Stack Development using Java ● client will provide food, travel, and accommodation arrangements during the contract period Show more Show less
Role Description This is a contract remote role for an Adobe Experience Manager + Power BI Consultant. The Consultant will be responsible for day-to-day tasks related to Adobe Experience Manager acting as a Data Engineer and Power BI implementation and optimization. Qualifications Analytical Skills and Project Management Communication and Customer Service skills Customer Experience expertise Experience with Adobe Experience Manager and Power BI Ability to work independently and remotely Experience in IT consulting is a plus Bachelor's degree in Computer Science, Information Technology, or related field Show more Show less
Role Description This is a full time role for a Talent Acquisition Manager in the software domain (Data Engineers, Full Stack, UI/UX domain,...) . The Talent Acquisition Manager will be responsible for full-life cycle recruiting, hiring, employer branding, interviewing, and recruiting activities on a day-to-day basis. Qualifications Full-life Cycle Recruiting and Hiring skills Employer Branding and Interviewing skills Experience in recruiting for software roles (Data Engineers, Full Stack, UI/UX domain,...) Strong communication and interpersonal skills Ability to work independently and remotely Knowledge of technology trends and software industry Bachelor's degree in Human Resources, Business, or related field
5 year minimum experience in CDP Treasure Data required Role Description This is a 6 month contractual remote role for a CDP Treasure Data- Data Engineer at Coredata Consultancy. The Data Engineer will be responsible for tasks such as data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics. Key Skills: · Hands-on experience with ELT/ETL tools/language · Hands-on experience in Presto, Hive, and Digdag · Critical Thinking and Problem Solving · Data Management, Querying & Analysis · Good Communication · Experience with Treasure Data (highly desired) Work Activities: The resources will be expected to support the following work activities: Data Collection & Ingestion into CIH (Customer Interaction History) Stage layer · Pull data extracts from S3 · Incremental ingestion load (S3 to TD-stage layer) · Historical load ingestion (S3 to TD-stage layer) · Ingestion of Third-Party Files from S3 · Ingestion of data into CIH via Direct connections (Braze, Meta, etc.) Data Processing & Transformation (Workbench & Feature Development) · Golden Layer (GL) Workbench development · Creation of Attributes and behavior · System/Integration Testing · GL Workbench Code Review and Release Management Web Unification Workflow Development · System/Integration Testing · Unification Code Review and Release Management Parent Segment Management · Parent segment configuration & Design · Attributes and behavior field value validation · System/Integration Testing · Parent Segment Code Review and Release Management Transition production processes to OPS team · Document SOPs · Conduct KT sessions with Operations team(s) Sending Data from CIH to other systems/vendors · Sending data from CIH to Cloud data warehouse · Sending extracts to Vendors (e.g., IQuanti) via SFTP Erasure & Privacy · Data obfuscation workflow run/updates (weekly, for new data sets) · Support GDPR Compliance activities · Support marketability requests Enhancements & Defects Fixes · Ongoing Engineering work · Fixing Defects · Building/Enhancing monitoring/alerting frameworks
Company Description Coredata Consultancy is an IT consulting start-up that delivers innovative solutions to empower businesses in the digital age. The company is driven by a relentless pursuit of excellence and passionate about technology. With a seasoned team of experts, Coredata Consultancy tackles complex challenges with confidence and finesse. Role Description This is a contract remote role for a Human Resources Specialist at Coredata Consultancy. The Human Resources Specialist will be responsible for HR management, implementing HR policies, managing employee benefits, and overseeing personnel management tasks on a day-to-day basis. Qualifications Human Resources (HR) Management and HR Policies Employee Benefits and Personnel Management skills Experience in HR functions and practices Strong organizational and communication skills Attention to detail and problem-solving abilities Knowledge of labor laws and regulations Bachelor's degree in Human Resources or related field Experience in recruitment in GCC. mostly recruitment experience.
Role Description This is a contract remote role for a Data Engineer - Adobe Experience Platform. The Data Engineer will be responsible for tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics to support the Adobe Experience Platform. Qualifications Data Engineering and Data Modeling skills Experience in Extract Transform Load (ETL) processes Data Warehousing and Data Analytics skills Experience with Adobe Experience Platform is a plus Strong analytical and problem-solving skills Bachelor's degree in Computer Science, Information Technology, or related field Understanding of cloud technologies and databases Data Visualization in Power BI
What will you be doing? ● Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players. ● In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. ● You weild both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business What are we looking for? ● You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting. ● Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism. ● We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis. ● You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,...).
● Experience: ○ 10+ years of experience in data architecture, data engineering, or related roles. ○ Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach. ○ Demonstrated track record of managing client relationships and leading technical teams. ● Technical Skills: ○ Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). ○ Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. ○ Hands-on experience with cloud data platforms (e.g., Azure, Google Cloud) and modern data processing frameworks. ○ Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting. ○ Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc) ● Soft Skills: ○ Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders. ○ Proven team management and leadership abilities, including mentoring, coaching, and project management. ○ Strong analytical and problem-solving skills with a proactive, detail-oriented approach. ○ Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completion. ● Certifications (Preferred): ○ Relevant certifications such as Azure Solutions Architect, Certified Data Management Professional (CDMP), or similar credentials.
Experience: ○ 10+ years of experience in data architecture, data engineering, or related roles. ○ Proven experience in designing and implementing enterprise-level data solutions with a hands-on technical approach. ○ Demonstrated track record of managing client relationships and leading technical teams. ● Technical Skills: ○ Expertise in data modeling, data warehousing, and database design (both relational and NoSQL). ○ Strong proficiency in data engineering, including experience with ETL tools, data integration frameworks, and big data technologies. ○ Hands-on experience with Google Cloud data platform and modern data processing frameworks. ○ Familiarity with scripting and programming languages (e.g., Python, SQL,) to support hands-on development and troubleshooting. ○ Experience with data governance frameworks & solutions ( Informatica, Collibra, Purview etc) ● Soft Skills: ○ Exceptional client management and communication skills, with the ability to interact confidently with both technical and non-technical stakeholders. ○ Proven team management and leadership abilities, including mentoring, coaching, and project management. ○ Strong analytical and problem-solving skills with a proactive, detail-oriented approach. ○ Ability to work collaboratively in a fast-paced, dynamic environment while driving multiple projects to successful completion. ● Certifications (Preferred): ○ Relevant certifications such as Professional Cloud Architect(GCP) Data Architect, Certified Data Management Professional (CDMP), or similar credentials.
You should have over 10 years of experience in data architecture, data engineering, or related roles. Your expertise should include designing and implementing enterprise-level data solutions with a hands-on technical approach. You should have a proven track record of managing client relationships and leading technical teams. In terms of technical skills, you must be well-versed in data modeling, data warehousing, and database design, including both relational and NoSQL databases. You should have a strong proficiency in data engineering, which includes experience with ETL tools, data integration frameworks, and big data technologies. Hands-on experience with Google Cloud data platform and modern data processing frameworks is crucial. Moreover, familiarity with scripting and programming languages like Python and SQL for hands-on development and troubleshooting is essential. Experience with data governance frameworks & solutions such as Informatica, Collibra, Purview, etc., will be a plus. Soft skills required for this role include exceptional client management and communication skills to confidently interact with both technical and non-technical stakeholders. You should possess proven team management and leadership abilities, including mentoring, coaching, and project management. Strong analytical and problem-solving skills with a proactive, detail-oriented approach are necessary. The ability to work collaboratively in a fast-paced, dynamic environment while successfully driving multiple projects to completion is important. Preferred certifications for this position include Professional Cloud Architect (GCP), Data Architect, Certified Data Management Professional (CDMP), or similar credentials.,
Company Description At Coredata Consultancy, we are passionate about technology and driven by a relentless pursuit of excellence. As an IT consulting start-up, we deliver innovative solutions that empower businesses and organizations to thrive in the digital age. Our dedicated team of seasoned experts brings together a wealth of knowledge and experience, ensuring we can address even the most complex challenges with confidence and finesse. Role Description This is a remote contract role for an AWS Data Architect. The AWS Data Architect will be responsible for designing and implementing data architectures, developing data models, creating and managing data governance frameworks, managing data warehousing solutions, and overseeing Extract, Transform, Load (ETL) processes. The candidate will work closely with various teams to ensure that data solutions meet the needs of the business and adhere to best practices in data management. Qualifications Proficiency in Data Architecture and Data Modeling Experience with Data Governance practices Expertise in Data Warehousing solutions Advanced skills in Extract, Transform, Load (ETL) processes Excellent analytical and problem-solving skills Strong communication and collaboration abilities Experience with AWS data solutions is highly desirable Bachelor&aposs degree in Computer Science, Information Technology, or related field Show more Show less
Role Description This is a full-time role for a Senior Data Strategy Consultant. The Senior Data Strategy Consultant will be responsible for developing and executing data strategies for clients, conducting data analysis, and providing insights to support business decisions. The consultant will also engage in management consulting, helping organizations optimize their processes and systems, and effectively communicate findings and recommendations to stakeholders. Qualifications Previous experience in Strategy Consulting (MBB Strong Analytical Skills Proficiency in Consulting and Management Consulting Excellent Communication skills Understanding of Finance principles Strong problem-solving capabilities Ability to manage and lead projects independently Bachelor's or Master's degree in Business, Data Science, Information Technology, or related field Experience working in the IT consulting industry is a plus
Spatial Data Management: Manage and analyze spatial data related to residential and commercial buildings, land parcels, and geographic reference layers (e.g., addresses, road networks, and administrative boundaries). GIS Tool Utilization: Utilize GIS software (such as Esri ArcGIS or QGIS) and spatial databases to manage large datasets of building locations and attributes. Develop and use geospatial analyses and mapping workflows to inform census planning and operations, including generating maps and reports that integrate building data with other geographic layers Data Quality & Standards: Ensure data quality, metadata consistency, and alignment with data mapping standards. This involves enforcing data integrity checks, maintaining consistent coordinate reference systems, and updating metadata documentation so that all geospatial datasets meet accuracy and consistency requirements Cross-Team Collaboration: Collaborate with cross-functional teams – including field operations personnel, data analysts, IT specialists, and statisticians – to integrate geospatial data into various workflows and analyses. Key Qualifications Education (this would be ideal but not necessary) : Bachelor’s degree in Geography, Geographic Information Systems (GIS), Cartography, or a related field (a master’s degree is a plus), providing a strong foundation in geospatial concepts and analysis GIS Technical Skills: Proven proficiency in GIS software and tools, especially Esri ArcGIS and/or QGIS, for creating and maintaining spatial databases, performing geoprocessing, and producing maps and analytical reports. Experience with spatial data infrastructures and GIS scripting or automation (Python, ModelBuilder) is advantageous. Domain Experience: Demonstrated experience working with spatial datasets related to buildings and addresses – for example, managing building footprint data, address registers, or cadastral land parcel information – and integrating these with administrative boundary layers and other reference data Data Quality & Metadata Knowledge: Solid understanding of geospatial data quality standards and metadata management. Ability to ensure high accuracy and logical consistency in datasets (e.g., verifying spatial accuracy, maintaining projection consistency, and keeping thorough metadata records for geographic files) Communication & Teamwork: Excellent communication skills and a collaborative mindset. Able to work effectively with interdisciplinary teams and external partners, translating technical GIS information into clear insights for non-technical colleagues, and coordinating with field staff and analysts to support the overall census mission
Job Description: Data Quality Analysis & Remdiation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis. Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing. Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions. Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports. Key Qualifications: Bachelor’s degree in a quantitative field such as Statistics, Data Science, Economics, Mathematics, or similar. This educational background provides a solid foundation in data analysis techniques and statistical reasoning. Strong proficiency in data analysis tools and languages, particularly SQL for database querying, Excel for data manipulation, and programming in Python or R for more advanced analysis and automation. Experience with statistical libraries or packages (e.g., pandas, R’s tidyverse) is highly valuable Demonstrated ability to perform in-depth data analysis and not just generate visuals. We need analysts who can write complex queries, perform calculations, and apply statistical tests if necessary – beyond assembling dashboard components. An analytical mindset and attention to detail are crucial for interpreting data correctly and spotting outliers or errors. Familiarity with business intelligence and visualization tools, especially Power BI, to aid in presenting analysis outcomes. While creating polished dashboards is not the primary focus, the analyst should be capable of using Power BI (and similar tools like Tableau if needed) to turn data into interpretable charts and graphs for reporting purposes. They should also understand data visualization best practices to communicate information effectively. Excellent communication skills, both written and verbal, with the ability to explain data findings in layman’s terms. A collaborative attitude is important, as Data Analysts will frequently interact with other teams (IT, field operations, subject-matter experts) to gather context and ensure that analyses meet the needs of the census project. They should be proactive in sharing insights and contributing to data-driven decisions within the organization.
The job involves being a part of a training team as a Senior Trainer or Junior Trainer in the domains of Data Science with NLP, Machine Learning, AI/ML, Java DSA, and Full Stack Java. The role is contractual for a duration of 4.5 months or 100 days, located on-site at Dulapally, Hyderabad, Telangana 500043. Compensation is as per industry standards and other benefits include food, travel, and accommodation provided by the client. As a Senior Trainer with 4-5 years of experience or a Junior Trainer, you will be responsible for leading classroom and practical training sessions. Your role will encompass content delivery, assessments, mentoring, and ensuring quality assurance. You will conduct instructor-led sessions and workshops from 9 AM to 4 PM, Monday to Saturday, deliver hands-on labs and coding demonstrations, resolve learner doubts, design and evaluate tests, enhance training materials, track learner progress, and maintain an engaging classroom environment. Qualifications for this role include a Masters (ME/MTech preferred) or Bachelors (BE/BTech) degree in relevant disciplines, along with 4-5 years of training or industry experience in Data Science, NLP, ML, AI, Java DSA, and Full Stack Java Development. Proficiency in relevant tools, platforms, and programming is required, as well as strong communication, facilitation, and classroom management skills. Experience in content creation and a willingness to work full-time onsite for the entire program duration are beneficial. The program is set to start on 9th June 2025, with a reporting date of 8th June 2025. If you are passionate about teaching, leading, and creating impactful learning experiences, this role might be the right fit for you. To apply, send your resume to people@coredataconsultancy.info. Immediate joiners in Hyderabad are preferred. #SeniorTrainer #TrainingJobs #DataScienceTrainer #JavaTrainer #FullStackTrainer #MachineLearningTrainer #AITrainer #Upskilling #TechTrainer #TrainerJobs #HyderabadJobs,
Role Description This is a full-time role for a Databricks Data Engineer. The Databricks Data Engineer will be responsible for designing, developing, and optimizing big data solutions using Databricks. Day-to-day tasks include performing data modeling, implementing ETL processes, managing data warehousing solutions, and performing data analytics to support business intelligence initiatives. Qualifications Data Engineering and Data Modeling skills Experience with Extract Transform Load (ETL) processes and Data Warehousing Data Analytics skills to support business intelligence initiatives Proficiency in Databricks and big data technologies Excellent problem-solving and analytical abilities Relevant experience in a similar role is a plus Bachelor's degree in Computer Science, Information Technology, or related field Certification is required
Role Description This is a full time role for an AWS Data Architect. The AWS Data Architect will be responsible for designing and implementing data architectures, developing data models, creating and managing data governance frameworks, managing data warehousing solutions, and overseeing Extract, Transform, Load (ETL) processes. The candidate will work closely with various teams to ensure that data solutions meet the needs of the business and adhere to best practices in data management. Qualifications Proficiency in Data Architecture and Data Modeling Experience with Data Governance practices Expertise in Data Warehousing solutions Advanced skills in Extract, Transform, Load (ETL) processes Excellent analytical and problem-solving skills Strong communication and collaboration abilities Experience with AWS data solutions is highly desirable Bachelor's degree in Computer Science, Information Technology, or related field
We're looking for an experienced and dynamic Data Lead to drive the full lifecycle of our data engineering solutions, from strategic design to hands-on implementation. In this key role, you will be a hands-on architect, building secure and scalable data platforms while mentoring our engineering teams. Responsibilities ● Design and develop robust, scalable, and secure data architectures that meet business requirements. ● Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP). ● Define and enforce data governance, quality, and security standards. ● Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions. ● Evaluate new technologies and tools to improve our data infrastructure and practices. ● Create and maintain detailed documentation of data architecture, data flows, and processes. ● Provide technical leadership and mentorship to junior team members. ● Stay up-to-date with the latest trends and best practices in data architecture and cloud computing. Qualifications ● Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. ● Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role. ● Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP). ● Solid understanding of cloud-native data services such as: ○ AWS: Redshift, S3, Glue, Athena, and EMR. ○ Azure: Synapse Analytics, Data Lake, Data Factory, and Databricks. ○ GCP: BigQuery, Cloud Storage, Dataflow, and Dataproc.
Role Overview Lead workflow automation - automating critical procedures for users using NewGen BPM platform, integrated with enterprise systems. Key Responsibilities Develop complex workflows (15-20 steps each) using NewGen OmniFlow Design digital forms with Arabic/English support and offline capability Integrate with SAP, IBM Maximo, EMS, and 8 other systems via REST/SOAP APIs Configure business rules, approvals, escalations, and role-based access Optimize platform for 1000+ concurrent users with 2-second response time Essential Requirements Experience 5+ years BPM/workflow development 3+ years hands-on NewGen platform 2+ NewGen implementations delivered successfully Enterprise integration experience Technical Skills NewGen : OmniFlow, OmniDocs, BPM Studio, Business Rules Engine Workflow : BPMN 2.0, complex patterns (parallel, conditional, loops) Integration : REST/SOAP APIs, Web Services, Data transformation Database : SQL Server, Oracle, performance tuning Languages : English (Required),