11+ Joint application design Jobs in Bangalore (Bengaluru) | Joint application design Job openings in Bangalore (Bengaluru)

About the Role

The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.

The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO.  This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.

Job Description

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
• Strong experience at working on databases and good at analytical reasoning
• Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
• Must be involved in reconciliation of data sets and components across verticals depending on the need
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with the management to prioritize business and information needs
• Locate and define new process improvement opportunities

Required Skills:

• Proven working experience as a data analyst or business data analyst
• Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
• https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Employment type- Contract basis

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using PySpark and distributed computing frameworks.
• Implement ETL processes and integrate data from structured and unstructured sources into cloud data warehouses.
• Work across Azure or AWS cloud ecosystems to deploy and manage big data workflows.
• Optimize performance of SQL queries and develop stored procedures for data transformation and analytics.
• Collaborate with Data Scientists, Analysts, and Business teams to ensure reliable data availability and quality.
• Maintain documentation and implement best practices for data architecture, governance, and security.

⚙️ Required Skills

• Programming: Proficient in PySpark, Python, and SQL, MongoDB
• Cloud Platforms: Hands-on experience with Azure Data Factory, Databricks, or AWS Glue/Redshift.
• Data Engineering Tools: Familiarity with Apache Spark, Kafka, Airflow, or similar tools.
• Data Warehousing: Strong knowledge of designing and working with data warehouses like Snowflake, BigQuery, Synapse, or Redshift.
• Data Modeling: Experience in dimensional modeling, star/snowflake schema, and data lake architecture.
• CI/CD & Version Control: Exposure to Git, Terraform, or other DevOps tools is a plus.

🧰 Preferred Qualifications

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• Certifications in Azure/AWS are highly desirable.
• Knowledge of business intelligence tools (Power BI, Tableau) is a bonus.

     Job Title: Business Development Associate

About the Company With a mission to upgrade the digital marketing industry with profound practical expertise and innovation, InSnap Technologies started its operations in 2018. Founded as a subsidiary of Spokesly INC based out of California, USA).

InSnap has grown to be a family of some of the best talent from around the world who empowered thousands of businesses of achieve their digital marketing goals. Powered with business intelligence data, vision, and out-of-the box thinking, InSnap provides novelty solutions and tools to rest all the digital marketing worries for a B2B enterprise. Role: Business Development Associate

Job Type: Full-Time / Permanent

Shift Timings: Night Shift No.of requirements:20

Location: 747, Pooja Bulding,80 Ft Road 4th Block, Koramangala, Bangalore, Karnataka-560034

Job Description:

Eligibility Criteria: • Graduate (Any stream).

• We are looking for executives who are ambitious, results-driven, and ready to achieve big role

• Must have Excellent communication, presentation skills, Fantastic Email Etiquette, Impeccable Email Etiquette and great Interpersonal Skills.

• proficiency in Microsoft Suite applications (Word, PowerPoint, Excel, Outlook) Key Responsibilities

• Demonstrate effective selling skills and product understanding to uncover customer needs to position an appropriate solution.

• Update and create tailored client proposals and negotiate further to close the deals.

• Understand, monitor, and evaluate industry trends and customer drivers.

• Manage proposal response process, including detailed RFP requirements, content creation, and inputs from various sources.

• Nurturing accounts and contacts through various mediums of communication.

• Develop and implement overarching sales and business development strategy, sales processes, structure, and best practices across the company.

• Support deal structure and pricing with business value analysis; negotiate prices for proactive bids and proposals. Benefits: • Incentives Weekly/Monthly/Yearly

• Provident Fund

• Hybrid Mode

• Bonus

• Medical Insurance

• Fixed off on weekends

• Wedding and child birth gift

• Gratuity

• Rewards & Recognition

• 2-way Cab facilities, Subsidies Meals Perks

• Excellent growth opportunity

• Competitive salary and performance-based incentives #747, Pooja Building, 80 Feet Road, 4th Block, Koramangala, Bengaluru KA - 560034.

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse.
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs.
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elasticsearch, MongoDB, and AWS technology.
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.

• 5+ years of experience in a Data Engineer role.
• Proficiency in Linux.
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena.
• Must have experience with Python/Scala.
• Must have experience with Big Data technologies like Apache Spark.
• Must have experience with Apache Airflow.
• Experience with data pipeline and ETL tools like AWS Glue.
• Experience working with AWS cloud services: EC2, S3, RDS, Redshift.

• Should be atleast having 10 + years of exp with scaled startups / high growth startups
• Preferably have done 0-1 or 1-10 (build things from scratch in HR & have scaled it )
  
  

  Roles & Responsibilties

  Roles & responsibilities :

  • You will work closely with the senior most leadership and will be responsible to build and drive HR strategy across functions to foster organisation growth.
  • Create a conducive culture that enables the team to grow the organisation & themselves.
  • Set up policies and processes and create an employer brand in the market.
  • Leadership role with fast growing early age startup
  • Work closely with senior stakeholders in a high impact rol

  Experience and Qualifications

  • Overall 12+ years experience in HR post MBA from a reputed B-School.
  • Having worked in an online/ digital start up ecosystem is a must.
  • Experience working as a HR Business Partner, HR Operations, HR Generalist, TA etc.
  • Strong business acumen with experience managing a team and diverse stakeholders.

  What’s an offer

  An excellent opportunity to work with a well funded early age start up in their fast growing set up in a leadership role working closely with a strong leadership team of expert professionals.

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

Product Responsibilities:

As an Engineering Manager, you will be responsible for the end-to-end delivery of one or more products and solutions.

10+ years of relevant industry experience.

Be technically strong and deliver product excellence.

Collaborate with your team and cross-functional partners to define and influence strategy.

Drive roadmap creation and execution.

Collaborate with various functions, drive engineering initiatives, and have an impact at an organizational level.

Participate in technical design. You will be the owner of the technical direction of the products.

Define clear OKRs and measure the impact of your team and individual members.

Evangelize your products across various teams and also to external customers.

Work with the GTM team to deliver success for the products.

Collaborate with the Recruitment/HR team to hire exceptional talent for your own team and also for other teams.

Minimum Qualifications:

Bachelor degree preferably in Computer Science from a reputed engineering college.

10+ years of proven experience, with 2+ years of leading a team.

Very strong in hands-on coding.

8+ years of combined experience in JVM languages(Java, Scala, Kotlin, etc), any scripting language like python, relational and non-relational databases.

Very strong in system design. You should have designed and implemented large-scale Web applications or data systems.

Strong verbal and written communication skills.

Demonstrated experience recruiting and managing technical teams, including performance management.

Good to have:

Don't worry, we'll ramp you up, but experience in any of these areas will help you hit the ground running:

Familiarity with technologies such as Apache Spark, Apache Hadoop ecosystem, and modern warehouses like Snowflake, AWS Redshift, etc.

Experience working with public cloud systems such as AWS, GCP, or Azure.

Experience with containerization and technologies such as Kubernetes and Docker.

 Knowledge of large-scale, data-heavy distributed systems.

• Lead a full product development lifecycle from ideation, design, development, to roll out and support
• Own the delivery of multiple features of the product end to end while hands-on in development as well
• Advocate best development practices such as continuous integration/continuous delivery, automation (testing and infrastructure)

1. 7+ Years’ of experience, managing teams of 5+ people
2. Must have excellent programming, debugging and scripting skills with a solid understanding of Object Oriented Design principles.
3. Proficiency in at least two of the following: Java, NodeJS, Go, JavaScript, Python programming stacks, and passion for software engineering and craftsman-like coding prowess
4. Knowledge of software practices like refactoring, clean code, domain driven design, Encapsulation etc
5. Hands on experience managing databases like MongoDB, Cassandra, Redis.
6. Exposure to event driven systems and event streaming engines like Kafka
7. Good knowledge of DevOps tooling like docker, kubernetes, ansible/chef, AWS.