Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.

Review Criteria

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

• Preferred (Nice-to-have) – Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Job Specific Criteria

• CV Attachment is mandatory
• How many years of experience you have with Dremio?
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate

• Bachelor’s or master’s in computer science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Supercharge Your Career as a Tableau Systems Engineer at Technoidentity!

Are you ready to solve people challenges that fuel business growth? At Technoidentity, we’re a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for over 13 years—and we’re expanding globally. It’s the perfect time to join our

team of tech innovators and leave your mark!

What’s in it for You?

Our Self Serve Business Intelligence team is focused on enabling strong data exploration and analytics across the organisation. The team manages Tableau dashboards, provides foundational Tableau systems administration, and resolves connectivity issues across platforms. We also oversee Tableau Server and Tableau Cloud, including license utilisation and allocation. As the organisation continues to scale its analytical maturity, this team plays a key role in expanding Tableau adoption across business functions and setting standards for

canonical dashboards and curated data sources. The team also contributes to company wide analytics education.

As a Tableau and Analytical Systems Engineer, you will strengthen our data visualisationecosystem and ensure seamless data exploration for stakeholders. Your work will span installation, configuration, maintenance, and support of Tableau Server environments. You

will manage user accounts, permissions, and security settings across analytics systems, monitor performance, and troubleshoot issues related to Tableau and its integrations. Your contribution will support our goal of building a data literate culture and ensuring reliable analytical infrastructure.

What Will You Be Doing?

• Install, configure, and maintain multi node Linux based Tableau Server environments and Tableau Cloud, including upgrades and patches

• Manage user accounts, permissions, and security configurations across analytical systems

• Monitor system performance and troubleshoot issues related to Tableau, integrations, and upstream data systems

• Automate tasks such as deployment of data sources or workbooks, alerting, and integrations with Airflow using scripting languages

• Collaborate with the Tableau vendor on support cases, enhancements, and product fixes

• Partner with analysts and data teams to understand visualisation needs and deliver efficient Tableau solutions

• Track server activity and usage insights to identify performance improvements

• Create and maintain data extracts, refresh schedules, and quality checks

• Manage migrations of dashboards and workbooks across development and production environments

• Document procedures and administration practices for all analytical systems

• Stay updated on latest Tableau features, product updates, and industry best practices

• Maintain server logs, backups, and metadata exports

• Provide training, onboarding support, and guidance to users on Tableau Desktop and Server

What Makes You the Perfect Fit?

• At least 3 years of experience in Tableau Server administration

• Strong technical experience with AWS and familiarity with Linux

• Two or more years of coding experience in Python or JavaScript, with additional scripting knowledge in PowerShell or Bash

• Experience in designing cloud architectures for compute and storage

• Strong understanding of relational databases such as Postgres SQL and Trino or Hive

• Experience with Tableau APIs and Airflow is preferred

• Strong analytical and problem solving skills

• Ability to communicate clearly, collaborate effectively, and work both independently and in a team environment

Job Description: Data Engineer

Location: Ahmedabad

Experience: 5 to 6 years

Employment Type: Full-Time

We are looking for a highly motivated and experienced Data Engineer to join our  team. As a Data Engineer, you will play a critical role in designing, building, and optimizing data pipelines that ensure the availability, reliability, and performance of our data infrastructure. You will collaborate closely with data scientists, analysts, and cross-functional teams to provide timely and efficient data solutions.

Responsibilities

● Design and optimize data pipelines for various data sources

● Design and implement efficient data storage and retrieval mechanisms

● Develop data modelling solutions and data validation mechanisms

● Troubleshoot data-related issues and recommend process improvements

● Collaborate with data scientists and stakeholders to provide data-driven insights and solutions

● Coach and mentor junior data engineers in the team

Skills Required: 

● Minimum 4 years of experience in data engineering or related field

● Proficient in designing and optimizing data pipelines and data modeling

● Strong programming expertise in Python

● Hands-on experience with big data technologies such as Hadoop, Spark, and Hive

● Extensive experience with cloud data services such as AWS, Azure, and GCP

● Advanced knowledge of database technologies like SQL, NoSQL, and data warehousing

● Knowledge of distributed computing and storage systems

● Familiarity with DevOps practices and power automate and Microsoft Fabric will be an added advantage

● Strong analytical and problem-solving skills with outstanding communication and collaboration abilities

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a Computer related field

Position Description

We are looking for a highly motivated, hands-on Sr. Database/Data Warehouse Data Analytics developer to work at our Bangalore, India location. Ideal candidate will have solid software technology background with capability in the making and supporting of robust, secure, and multi-platform financial applications to contribute to Fully Paid Lending (FPL) project. The successful candidate will be a proficient and productive developer, a team leader, have good communication skills, and demonstrate ownership.

Responsibilities

• Produce service metrics, analyze trends, and identify opportunities to improve the level of service and reduce cost as appropriate.
• Responsible for design, development and maintenance of database schema and objects throughout the lifecycle of the applications.
• Supporting implemented solutions by monitoring and tuning queries and data loads, addressing user questions concerning data integrity, monitoring performance, and communicating functional and technical issues.
• Helping the team by taking care of production releases.
• Troubleshoot data issues and work with data providers for resolution.
• Closely work with business and applications teams in implementing the right design and solution for the business applications.
• Build reporting solutions for WM Risk Applications.
• Work as part of a banking Agile Squad / Fleet.
• Perform proof of concepts in new areas of development.
• Support continuous improvement of automated systems.
• Participate in all aspects of SDLC (analysis, design, coding, testing and implementation).

Required Skill

• 5 to 7 Years of strong database (SQL) Knowledge, ETL (Informatica PowerCenter), Unix Shell Scripting.
• Database (preferably Teradata) knowledge, database design, performance tuning, writing complex DB programs etc.
• Demonstrate proficient skills in analysis and resolution of application performance problems.
• Database fundamentals; relational and Datawarehouse concepts.
• Should be able to lead a team of 2-3 members and guide them in their day to work technically and functionally.
• Ensure designs, code and processes are optimized for performance, scalability, security, reliability, and maintainability.
• Understanding of requirements of large enterprise applications (security, entitlements, etc.)
• Provide technical leadership throughout the design process and guidance with regards to practices, procedures, and techniques. Serve as a guide and mentor for junior level Software Development Engineers
• Exposure to JIRA or other ALM tools to create a productive, high-quality development environment.
• Proven experience in working within an Agile framework.
• Strong problem-solving skills and the ability to produce high quality work independently and work well in a team.
• Excellent communication skills (written, interpersonal, presentation), with the ability to easily and effectively interact and negotiate with business stakeholders.
• Ability and strong desire to learn new languages, frameworks, tools, and platforms quickly.
• Growth mindset, personal excellence, collaborative spirit
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Good to have skills.

• Prior work experience with Azure or other cloud platforms such as Google Cloud, AWS, etc.
• Exposure to programming languages python/R/ java and experience with implementing Data analytics projects.
• Experience in Git and development workflows.
• Prior experience in Banking and Financial domain.
• Exposure to security-based lending is a plus.
• Experience with Reporting/BI Tools is a plus.

Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

About Qrata:

Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
• Proven experience (7+ years) in leading analytics teams in the credit card industry
• Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
• Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
• Experience with analytics tools such as SAS, SPSS, or Tableau
• Excellent leadership and team management skills, with a track record of building and developing high-performing teams
• Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
• Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience

What you can expect:

1. Develop and implement Analytics Strategy:

o Define the analytics roadmap for the credit card business, aligning it with overall business objectives

o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business

o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives

2. Lead Data Analysis and Insights:

o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation

o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities

o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies

o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information

3. Drive Data Governance and Quality:

o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms

o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities

o Establish and enforce data privacy and security protocols to comply with regulatory requirements

4. Team Leadership and Collaboration:

o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning

o Provide guidance and mentorship to the team, promoting professional growth and development

o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives

5. Stay Updated on Industry Trends:

o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry

o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools

For more Opportunities Visit: Qrata Opportunities.

• Produce clean code and automated tests
• Align with enterprise architecture frameworks and standards
• Be the role-model for all engineers in the team in terms of technical competency
• Research, assess and adopt new technologies as required
• Be a guide and mentor to the team members and help in ramping up the overall skill-base of the team.
• Produce detailed estimates and optimized work plans for requirements and changes
• Ensure that features are delivered on time and that they meet the business needs
• Strive for quality of performance, usability, reliability, maintainability, and extensibility
• Identify opportunities for process and tool improvements
• Use analytical rigor to produce effective solutions to poorly defined problems
• Follow Build to Ship mantra in practice with full Dev Ops implementation
• 10+ years of core software development and product creation experience in CPaaS.
• Working knowledge in VoIP, communication API , J2EE, JMS/ Kafka, Web-Services, Hadoop, React, Node.js, GoLang.
• Working knowledge in Various CPaaS channels - SMS, voice, WhatsApp, RCS, Email.
• Working knowledge of DevOps, automation testing, test driven development, behavior driven development, server-less or micro-services
• Experience with AWS / Azure deployments
• Solid background in large scale software development.
• Full stack understanding of web/mobile/API/database development concepts and patterns
• Exposure to Microservices, Iaas, PaaS, service mesh, SaaS and cloud native application development.
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• Understanding of Agile Scrum and SDLC principles.
• Containerization and orchestrations:- Dockers, kuberenetes, openshift, consule etc.
• Knowledge on NFV (openstack, Vsphere, Vcloud etc)
• Experience in Data Analytics/AI/ML or Marketing Tech domain is an added advantage
•  

What you need to have:

• 5+ years of experience in a Data Engineer role
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases such as Cassandra.
• Experience with AWS cloud services: EC2, EMR, Athena
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
• Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.