Tekla

About Data Axle:

Data Axle Inc. has been an industry leader in data, marketing solutions, sales and research for over 45 years in the USA. Data Axle has set up a strategic global center of excellence in Pune. This center delivers mission critical data services to its global customers powered by its proprietary cloud-based technology platform and by leveraging proprietary business & consumer databases. Data Axle is headquartered in Dallas, TX, USA.

Roles and Responsibilities:

• Design, implement, and manage scalable analytical data infrastructure, enabling efficient access to large datasets and high-performance computing on Google Cloud Platform (GCP).
• Develop and optimize data pipelines using GCP-native services like BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Data Fusion, and Cloud Storage.
• Work with diverse data sources to extract, transform, and load data into enterprise-grade data lakes and warehouses, ensuring high availability and reliability.
• Implement and maintain real-time data streaming solutions using Pub/Sub, Dataflow, and Kafka.
• Research and integrate the latest big data and visualization technologies to enhance analytics capabilities and improve efficiency.
• Collaborate with cross-functional teams to implement machine learning models and AI-driven analytics solutions using Vertex AI and BigQuery ML.
• Continuously improve existing data architectures to support scalability, performance optimization, and cost efficiency.
• Enhance data security and governance by implementing industry best practices for access control, encryption, and compliance.
• Automate and optimize data workflows to simplify reporting, dashboarding, and self-service analytics using Looker and Data Studio.

Basic Qualifications

• 7+ years of experience in data engineering, software development, business intelligence, or data science, with expertise in large-scale data processing and analytics.
• Strong proficiency in SQL and experience with BigQuery for data warehousing.
• Hands-on experience in designing and developing ETL/ELT pipelines using GCP services (Cloud Composer, Dataflow, Dataproc, Data Fusion, or Apache Airflow).
• Expertise in distributed computing and big data processing frameworks, such as Apache Spark, Hadoop, or Flink, particularly within Dataproc and Dataflow environments.
• Experience with business intelligence and data visualization tools, such as Looker, Tableau, or Power BI.
• Knowledge of data governance, security best practices, and compliance requirements in cloud environments.

Preferred Qualifications:

• Degree/Diploma in Computer Science, Engineering, Mathematics, or a related technical field.
• Experience working with GCP big data technologies, including BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud SQL.
• Hands-on experience with real-time data processing frameworks, including Kafka and Apache Beam.
• Proficiency in Python, Java, or Scala for data engineering and pipeline development.
• Familiarity with DevOps best practices, CI/CD pipelines, Terraform, and infrastructure-as-code for managing GCP resources.
• Experience integrating AI/ML models into data workflows, leveraging BigQuery ML, Vertex AI, or TensorFlow.
• Understanding of Agile methodologies, software development life cycle (SDLC), and cloud cost optimization strategies.

Requirements

Experience

• 5+ years of professional experience in implementing MLOps framework to scale up ML in production.
• Hands-on experience with Kubernetes, Kubeflow, MLflow, Sagemaker, and other ML model experiment management tools including training, inference, and evaluation.
• Experience in ML model serving (TorchServe, TensorFlow Serving, NVIDIA Triton inference server, etc.)
• Proficiency with ML model training frameworks (PyTorch, Pytorch Lightning, Tensorflow, etc.).
• Experience with GPU computing to do data and model training parallelism.
• Solid software engineering skills in developing systems for production.
• Strong expertise in Python.
• Building end-to-end data systems as an ML Engineer, Platform Engineer, or equivalent.
• Experience working with cloud data processing technologies (S3, ECR, Lambda, AWS, Spark, Dask, ElasticSearch, Presto, SQL, etc.).
• Having Geospatial / Remote sensing experience is a plus.

• Prospecting leads and contacting them to pitch the product/ service
• Setting up meetings with the prospective clients
• Presenting product/ service demonstrations to the client
• Establishing new business links
• Participate in conferences, exhibitions, and industry meet-ups for business development
• Sales reporting and reviewing performance
• Negotiating contracts to arrive at the best deal for the client and organization both
• Working towards achieving the sales target
• Conduct market research to evaluate gaps, opportunities, and alien needs
• Seek new opportunities through networking, cold calling, and social media channels
• Collaborate within teams to achieve better results

1. New Business Development: Identify and target potential clients, including individual investors and financial advisors, through various channels. Generate high-quality leads, conduct market research, and convert leads into paying customers. Utilize a consultative sales approach to understand client needs and effectively communicate the value proposition of MProfit's wealth-tech solutions.

2. Sales Pipeline Management: Build and manage a robust sales pipeline to achieve individual and team sales targets. Track and report on sales activities, opportunities, and progress using our CRM systems. Continuously update and prioritize leads to ensure a steady flow of qualified prospects. Implement effective sales strategies to accelerate the sales cycle.

3. Relationship Building: Establish and nurture strong, long-lasting relationships with clients and key stakeholders. Engage in regular client meetings, follow-ups, and negotiations. Proactively identify opportunities to up-sell and cross-sell MProfit's products and services. Provide exceptional customer service and resolve any issues or concerns raised by clients promptly and effectively.

4. Collaboration and Teamwork: Collaborate closely with the customer service team, marketing team and other internal stakeholders to align sales strategies, share best practices, and contribute to the overall growth of MProfit. Provide valuable feedback from clients to enhance product features and market positioning. Actively participate in team meetings and training sessions to stay updated on industry trends and sales techniques.

Create and maintain database tables, views, indexes, and triggers.

Implement and maintain database code in the form of stored procedures, scripts, queries, views, triggers, etc.

Develop and maintain high-quality stored procedures.

Write low cost, high-quality database queries and code while maintaining data quality, privacy, and security

Profile databases, measure database performance and troubleshoot complex database issues, and IO bottlenecks.

Optimize database queries and ensure table locking/deadlocks happen in production.

Optimize large, complicated SQL statements & Stored Procedures.

Cost optimization of Amazon instances using databases.

Knowledge of database design principles, query optimization, index management, integrity checks, statistics and isolation levels

Knowledge of message queuing, indexing, and high-performance data concept

Knowledge of JSON and PostgreSQL support for JSON.

Good Grasp of ETL concepts

Work with front-end developers to define simple yet powerful APIs

Work with DBAs to ensure the efficiency of database code, integrity of data structures and quality of data content.

Coordinate with product managers and leadership teams to build effective database objects

Excellent verbal and written communication skills

Good attitude towards work and flexibility

Ability and willingness to handle multiple tasks in a fast-paced environment

Ability to evaluate alternative solutions and/or workarounds

About Us:

GreedyGame is looking for a Business Analyst to join its clan. We are looking to get an enthusiastic Business Analyst who likes to play with Data. You'll be building insights from Data, creating analytical dashboard and monitoring KPI values. Also you will coordinate with teams working on different layers of the infrastructure.

Job details:

Seniority Level: Associate

Level Industry: Marketing & Advertising

Employment Type: Full Time

Job Location: Bangalore

Experience: 1-2 years

WHAT ARE WE LOOKING FOR?

• Excellent planning, organizational, and time management skills.
• Exceptional analytical and conceptual thinking skills.
• A previous experience of working closely with Operations and Product Teams.
• Competency in Excel and SQL is a must.
• Experience with a programming language like Python is required.
• Knowledge of Marketing Tools is preferable.

WHAT WILL BE YOUR RESPONSIBILITIES?

• Evaluating business processes, anticipating requirements, uncovering areas for improvement, developing and implementing solutions.
• Should be able to generate meaningful insights to help the marketing team and product team in enhancing the user experience for Mobile and Web Apps.
• Leading ongoing reviews of business processes and developing optimization strategies.
• Performing requirements analysis from a user and business point of view
• Combining data from multiple sources like SQL tables, Google Analytics, Inhouse Analytical signals etc and driving relevant insights
• Deciding the success metrics and KPIs for different Products and features and making sure they are achieved.
• Act as quality assurance liaison prior to the release of new data analysis or application.

Skills and Abilities:

• Python
• SQL
• Business Analytics
• BigQuery

WHAT'S IN IT FOR YOU?

• An opportunity to be a part of a fast scaling start-up in the AdTech space that offers unmatched services and products.
• To work with a team of young enthusiasts who are always upbeat and self-driven to achieve bigger milestones in shorter time spans.
• A workspace that is wide open as per the open door policy at the company, located in the most happening center of Bangalore.
• A well-fed stomach makes the mind work better and therefore we provide - free lunch with a wide variety on all days of the week, a stocked-up pantry to satiate your want for munchies, a Foosball table to burst stress and above all a great working environment.
• We believe that we grow as you grow. Once you are a part of our team, your growth also becomes essential to us, and in order to make sure that happens, there are timely formal and informal feedbacks given

• Bachelors/Masters in Computer Science or related field
• 7+ years previous release and/or project management experience
• Solid understanding of release and project management principles
• Strong experience with software development processes and agile methodologies
• Experience using bug tracking and management system (JIRA, Bugzilla, Testrail…) to track and build release dashboards 
• Experience with Jira Query Language (JQL) and JIRA Portfolio is a definite plus
• Demonstrated ability to manage and coordinate multi-functional work teams toward completion
• Demonstrated effective leadership and analytical skills
• Advanced written and verbal communication skills a must
• Experience in Data Storage, SaaS, Virtualization, Cloud, and Enterprise Equipment Deployment
• Demonstrated ability to successfully influence stakeholders and lead cross functional teams across geographies and business units
• Experienced in navigating variety of complex, cross-functional activities and lead all aspects of release delivery.
• Ability to engage with Business users and understand their needs.
• Broad knowledge of SaaS, distributed systems, virtualization, storage products, cloud, infrastructure software, databases, interface driven solutions is a definite plus
• General PC knowledge including GSuite, Microsoft Office and expert knowledge of Excel

• 2 - 7 years of experience in building applications using C++ programming language.
• Comfortable with core programming concepts and techniques (e.g. concurrency, memory management).
• Enjoys working with algorithms and data structures (e.g. trees, hash maps, queues).
• Strong in Data structure and good in problem solving.
• Strong debugging skills.
• Certifying the application – White box testing, black box testing.