redence is looking for Consultant to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field
As a Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Preferred candidate profile 1. Bachelor's/ Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 2. 5+ years of experience in data science, building hands-on ML models 3. Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. 4. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. 5. Advanced SQL skills with SQL Server and Spark experience. 6. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks 7. Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. 8. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment 9. Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred 10. Experience with cloud platforms such as Azure, AWS is preferred but not required.
Job Description: Manager/Tech Lead (Data Engineering) Location: Bangalore Experience: 9 to 14 years Role Overview: We are looking for a highly skilled Manager/Tech Lead, to lead and manage a team of 15 Data Engineers. This position requires a strong technical background, exceptional team management skills, and expertise in data engineering tools and techniques. The role involves end-to-end ownership of data pipelines, integration, and delivery, with a focus on cost and project optimization. Key Responsibilities: Team Management: Manage and mentor a team of 15 Data Engineers, ensuring professional growth and skill enhancement. Allocate tasks effectively, monitor performance, and address any issues proactively. Technical Leadership: Drive the development and optimization of data pipelines using Databricks, Data Lakes, Azure Data Factory, Delta Live Tables, Python, SQL, and PySpark. Implement robust data integration, data quality, and data observability frameworks. Project & Delivery Management: Collaborate daily with clients, production teams, and delivery teams to align on goals and resolve challenges. Ensure timely and efficient project delivery, maintaining high standards of quality and performance. Cost & Process Optimization: Identify opportunities for cost optimization in existing projects. Streamline workflows to improve efficiency and reduce redundancies. Stakeholder Management: Act as a liaison between technical teams and stakeholders, ensuring clear communication of requirements and deliverables. Manage expectations and provide updates on project progress and risks. Tech Migration & Innovation: Lead technology migration initiatives to ensure the adoption of modern tools and platforms. Stay updated with industry trends and recommend best practices for data engineering. Skills & Qualifications: Mandatory Technical Skills: Databricks, Data Lakes, Azure Data Factory, Delta Live Tables, Python, SQL, PySpark. Expertise in building and managing scalable data pipelines and integrations. Strong understanding of data quality and observability frameworks. Management Skills: Proven experience in leading and managing large teams (15+ members). Strong project management and delivery skills. Excellent stakeholder management and communication abilities. Other Requirements: Experience in driving delivery for tech teams and managing daily client interactions. Knowledge of cost optimization and tech migration best practices.
Role:- GCP Data Engineer/GCP Architect Experience:-6+ Years Location :- Pan India Role & responsibilities Cloud Skills: Strong experience with Google Cloud Platform (GCP), particularly BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Functions, and Cloud Composer. Understanding of cloud architecture and scalability best practices. Programming & Scripting: Proficiency in Python, SQL, Java, or Scala for data manipulation and pipeline development. Knowledge of shell scripting and automation tools. Data Engineering: Experience in designing and implementing ETL/ELT workflows and data pipelines. Familiarity with data modeling, schema design, and optimization techniques. Big Data & Analytics: Experience with distributed computing and big data tools (Apache Hadoop, Spark, or similar frameworks). Proficient in querying and managing large datasets in BigQuery. Collaboration Tools: Experience with tools like Git, JIRA, or similar for version control and project management. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to interact with technical and non-technical teams. Preferred Qualifications: Experience in machine learning or data science applications. Certification in Google Cloud Professional Data Engineer or equivalent. Knowledge of data visualization tools like Google Data Studio, Tableau, or Power BI.
Primary Roles and Responsibilities: Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Job Location Bangalore / Gurgaon / Pune / Kolkata / Chennai Roles & Responsibilities Bachelors and/or master s degree in computer science or equivalent experience Must have total 6+ yrs of IT experience and 3+ years experience in Data warehouse/ETL projects Deep understanding of Star and Snowflake dimensional modelling Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis) Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable) Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills Strong analytical and problem-solving skills with a high attention to detail
As an, Associate Manager - Senior Data scientist you will solve some of the most impactful business problems for our clients using a variety of AI and ML technologies. You will collaborate with business partners and domain experts to design and develop innovative solutions on the data to achieve predefined outcomes. Engage with clients to understand current and future business goals and translate business problems into analytical frameworks Develop custom models based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs Create repeatable, interpretable and scalable models Effectively communicate the analytics approach and insights to a larger business audience Collaborate with team members, peers and leadership at Tredence and client companies Preferred candidate profile Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. 5+ years of experience in data science, building hands-on ML models Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. Advanced SQL skills with SQL Server and Spark experience. Experience with Advanced Forecasting models - LSTM, Transformers and Foundation based models. Experience with deploying and productionizing models. Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred Experience with cloud platforms such as Azure, AWS is preferred but not required
Primary Roles and Responsibilities: Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborate with DW/BI leads to understand new ETL pipeline development requirements Triage issues to find gaps in existing pipelines and fix the issues Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs Help joiner team members to resolve issues and technical challenges Drive technical discussion with client architect and team members Orchestrate the data pipelines in scheduler via Airflow Job Location Bangalore / Gurgaon / Pune / Kolkata / Chennai Roles & Responsibilities Bachelors and/or master s degree in computer science or equivalent experience Must have total 6+ yrs of IT experience and 3+ years experience in Data warehouse/ETL projects Deep understanding of Star and Snowflake dimensional modelling Strong knowledge of Data Management principles Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture Should have hands-on experience in SQL, Python and Spark (PySpark) Candidate must have experience in AWS/ Azure stack Desirable to have ETL with batch and streaming (Kinesis) Experience in building ETL / data warehouse transformation processes Experience with Apache Kafka for use with streaming data / event-based data Experience with other Open-Source big data products Hadoop (incl Hive, Pig, Impala) Experience with Open Source non-relational / NoSQL data repositories (incl MongoDB, Cassandra, Neo4J) Experience working with structured and unstructured data including imaging & geospatial data Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Databricks Certified Data Engineer Associate/Professional Certification (Desirable) Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects Should have experience working in Agile methodology Strong verbal and written communication skills Strong analytical and problem-solving skills with a high attention to detail
We are seeking a highly organized and proactive Interview Coordinator to join our talent acquisition team. In this role, you will play a key part in managing the scheduling and logistics of candidate interviews, ensuring a seamless and positive experience for both candidates and hiring teams. Your attention to detail and ability to manage multiple priorities will be critical in maintaining the efficiency and success of our recruitment process. Key Responsibilities: Coordinate and schedule interviews across various teams and departments, ensuring alignment with candidate and interviewer availability. Serve as the primary point of contact for candidates throughout the interview process, providing timely communication and updates. Arrange logistics for interviews, including meeting room bookings, video conferencing setup, and any special requirements. Collaborate closely with recruiters, hiring managers, and interviewers to ensure smooth interview processes and address any scheduling conflicts. Maintain accurate records of candidate interactions and interview schedules using applicant tracking systems (ATS) or scheduling tools. Prepare and distribute interview materials such as candidate resumes, feedback forms, and schedules to interviewers. Handle last-minute changes or cancellations with professionalism and efficiency, ensuring minimal disruption. Collect and consolidate interview feedback from interviewers, ensuring timely follow-ups with recruiters and hiring managers. Assist with candidate travel arrangements and reimbursements, if applicable. Contribute to continuous improvement initiatives for interview coordination processes and candidate experience. Qualifications: Required: Bachelors degree in Human Resources, Business Administration, or a related field (or equivalent experience). Proven experience in a coordination or administrative role, preferably in recruitment or HR. Strong organizational and time-management skills with the ability to handle multiple priorities effectively. Excellent verbal and written communication skills. Proficiency in scheduling tools and platforms such as Microsoft Outlook, Google Calendar, or similar. Familiarity with applicant tracking systems (e.g., Ripplehire) or other HR software. Attention to detail and problem-solving skills, particularly in managing complex schedules. A customer-focused mindset with a commitment to delivering an excellent candidate experience. Preferred: Previous experience in recruitment coordination within a fast-paced environment. Understanding of employment laws and regulations related to recruitment. Knowledge of video conferencing tools like Zoom, Microsoft Teams, or Webex.
Role and Responsibilities: Working closely with the data analyst and data platform teams to Analyze and evaluate existing data systems and continuously updating and optimising data models. Working closely with Business and Analytics team to understand business needs and translate them into long-term solution data models. Working with the data ingestion teams from different business areas to understand the data availability and format and to create conceptual data models and data flows. Jointly accountable, together with Platform and Development teams, for the performance of the reporting solutions produced. Developing best practices for data coding naming conventions, default values, semantics, data dictionary, etc. to ensure consistency within the system and act as an educator and ambassador for best practices when it comes to the data modelling. Reviewing modifications of existing systems for cross-compatibility. Implementing data strategies and developing physical data models. Qualification & Experience Data Modeler Requirements Bachelor s degree in computer science, information technology, or a similar field. Eight years hands-on experience with physical and relational data modelling, with overall 4+ years of industry experience. Expert knowledge of metadata management and related tools. Knowledge of mathematical foundations and statistical analysis. Strong interpersonal skills. Excellent communication and presentation skills. Advanced troubleshooting skills Why Join Tredence There is a reason we are one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest and fun-loving people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our reputed clients, some of the largest and most innovative global business brands. Our people are our greatest asset and we value every one of them. We are an equal opportunity employer who adhere to our core values & reflect this in our day to day life. So, please come & see why we re so successful in one of the most competitive and fastest growing industries in the world.