2+ Data Science Jobs in Indore | Data Science Job openings in Indore

Job Location: Hyderabad, India.

Roles and Responsibilities:

• The Sr .NET Data Engineer will be responsible for designing and developing scalable backend systems using .NET Core, Web API, and Azure-based data engineering tools like Databricks, MS Fabric, or Snowflake.
• They will build and maintain data pipelines, optimize SQL/NoSQL databases, and ensure high-performance systems through design patterns and microservices architecture.
• Strong communication skills and the ability to collaborate with US counterparts in an Agile environment are essential. Experience with Azure DevOps, Angular, and MongoDB is a plus.

Technical skills:

• Strong hands-on experience on C#, SQL Server, OOPS Concepts, Micro Services Architecture. · At least one-year hands-on experience on .NET Core, ASP.NET Core, Web API, SQL, No SQL, Entity Framework 6 or above, Azure, Database performance tuning, Applying Design Patterns, Agile.
• Net back-end development with data engineering expertise.
• Must have experience with Azure Data Engineering, Azure Databricks, MS Fabric as data platform/ Snowflake or similar tools.
• Skill for writing reusable libraries.
• Excellent Communication skills both oral & written.
• Excellent troubleshooting and communication skills, ability to communicate clearly with US counter parts

What we need?

• Educational Qualification: B.Tech, B.E, MCA, M.Tech.
• Experience: Minimum 6+ Years.
• Work Mode: Must be willing to work from the office (onsite only).

Nice to Have:

• Knowledge on Angular, Mongo DB, NPM and Azure Devops Build/ Release configuration.
• Self – Starter with solid analytical and problem- solving skills.
• This is an experienced level position, and we train the qualified candidate in the required applications.
• Willingness to work extra hours to meet deliverables.

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Job Location: Indore | Full-Time Internship  | Stipend - Performance Based  | 

About the company:

Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand.  KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4

Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com

Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
• Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
• Proven problem solving and debugging skills.
• Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
• Experience with text analytics, data mining and social media analytics.
• Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.