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4 - 8 years

9 - 13 Lacs

Kolkata

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Perform analysis on existing Data Storage system and development of Data Solutions in Snowflake Minimum 1 year of hands on experience on DBT. Design the data warehouse and provide guidance to the team in implementation using Snowflake SnowSQL Handson experience in Python Good handson experience in converting Source Independent Load, Post Load Process, Stored Procedure, SQL to Snowflake Experience in working on migrating data from onpremise databases and files to Snowflake Strong understanding of ELT/ETL and integration concepts and design best practices. Experience in performance tuning of the snow pipelines and should be able to trouble shoot the issue quickly Experience in Snowsql, Snowpipe, and Snowpark. Data modeling and data integration. Advance SQL skills for analysis, standardizing queries Mandatory skill sets Python, Spark, Snowflake, ETL Preferred skill sets Python, Spark, Snowflake, ETL Years of experience required 4 8 Education qualification B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required Bachelor of Engineering, Master of Engineering, Master of Business Administration Degrees/Field of Study preferred Certifications (if blank, certifications not specified) Required Skills ETL Tools, Python (Programming Language), Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis

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2 - 8 years

11 - 15 Lacs

Kolkata

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Hands on Experience in Data migration and ETL tools like BODS LTMC knowledge with SAP functional understanding Excellent project management and communication skills End to end Data Migration Landscape knowledge Lead Role experience Domestic client handling experience ie working with client with domestic onsite Understanding of Data Security and Data Compliance Agile Understanding Certification (Good to have) Domain Knowledge of Manufacturing Industry Sector Mandatory skill sets SAP BODS Preferred skill sets SAP BODS

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3 - 8 years

5 - 9 Lacs

Pune

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Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement data governance policies and procedures. Collaborate with stakeholders to define data standards. Facilitate effective data collection, storage, access, and usage. Drive data stewardship initiatives for comprehensive data governance. Ensure compliance with data governance policies and regulations. Professional & Technical Skills: Must To Have Skills: Proficiency in Collibra Data Governance. Strong understanding of data governance principles. Experience in implementing data governance frameworks. Knowledge of data quality management. Familiarity with data privacy regulations. Additional Information: The candidate should have a minimum of 3 years of experience in Collibra Data Governance. This position is based at our Pune office. A 15 years full time education is required. Qualification 15 years full time education

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3 - 5 years

6 - 8 Lacs

Mumbai, Goregaon East

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GST Compliance: Ensure timely and accurate filing of GST returns. Reconcile GST data with financial statements to ensure accuracy. Monitor and ensure compliance with the latest GST regulations and amendments. Handling GST Notices: Review and respond to GST notices received from tax authorities. Prepare and submit necessary documentation in response to GST notices. Liaise with tax consultants and authorities to resolve any issues or queries related to GST notices. GST Appeals: Manage the preparation and filing of GST appeals. Coordinate with legal counsel and tax consultants to address GST disputes and appeals. Maintain proper documentation and records related to GST appeals. Coordination and Collaboration: Work closely with other departments to ensure accurate GST data collection and reporting. Coordinate with external auditors, tax consultants, and legal advisors for GST-related matters. Provide guidance and support to team members and other stakeholders on GST-related issues. Reporting and Documentation: Prepare and present regular reports on GST compliance, notices, and appeals to management. Maintain and update GST records, including returns, notices, and appeal documents. Ensure all GST-related documentation is accurate, up-to-date, and easily accessible. Attention to detail and accuracy in financial reporting. Ability to work under pressure and meet deadlines. Strong problem-solving skills and analytical thinking. Ability to work independently and as part of a team. Up-to-date knowledge of GST legislation and amendments.

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Exploring Data Collection Jobs in India

Data collection jobs in India are in high demand due to the increasing importance of data-driven decision making in businesses across various industries. With the growth of e-commerce, digital marketing, and analytics, the need for professionals who can collect, clean, and analyze data has never been higher. Job seekers in India can explore a wide range of opportunities in data collection roles, from entry-level positions to senior roles with experience and expertise.

Top Hiring Locations in India

  1. Bangalore
  2. Mumbai
  3. Delhi
  4. Hyderabad
  5. Pune

These major cities in India have a high concentration of companies actively hiring for data collection roles. Job seekers can explore opportunities in these cities for a variety of industries and sectors.

Average Salary Range

The average salary range for data collection professionals in India varies based on experience and location. Entry-level positions typically start around INR 3-5 lakhs per annum, while experienced professionals can earn upwards of INR 10-15 lakhs per annum or more, depending on their skill level and expertise.

Career Path

In the field of data collection, a typical career path may include roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and Data Engineer. As professionals gain experience and expertise in data collection, they can progress to more senior roles such as Data Architect, Data Manager, or Chief Data Officer.

Related Skills

In addition to proficiency in data collection tools and techniques, professionals in this field are often expected to have skills in data analysis, data visualization, statistical modeling, and programming languages such as Python, R, or SQL. Knowledge of machine learning algorithms and big data technologies is also beneficial for career growth in data collection roles.

Interview Questions

  • What is the difference between structured and unstructured data? (basic)
  • How do you ensure data quality in a large dataset? (medium)
  • Can you explain the process of data cleaning and preprocessing? (medium)
  • What tools or software do you use for data collection and analysis? (basic)
  • Have you worked with APIs for data extraction? Can you give an example? (medium)
  • How do you handle missing data in a dataset? (medium)
  • What is the importance of data privacy and security in data collection? (basic)
  • Can you explain the concept of data normalization? (medium)
  • How do you approach data collection for a new project or research study? (medium)
  • What are some common challenges faced in data collection and how do you overcome them? (medium)
  • Explain the difference between data mining and data collection. (basic)
  • How do you handle outliers in a dataset during analysis? (medium)
  • Have you used any data visualization tools? Which one do you prefer and why? (medium)
  • Can you give an example of a time when your data collection methods led to actionable insights for a business? (medium)
  • What role does data governance play in data collection and management? (medium)
  • How do you stay updated with the latest trends and technologies in data collection? (basic)
  • Explain the concept of data sampling and when it is used in data collection. (medium)
  • Have you worked with real-time data collection? How is it different from batch processing? (medium)
  • What is your experience with data warehousing and data lakes? (medium)
  • How do you ensure data integrity and accuracy in a dataset? (medium)
  • Can you discuss a data collection project that you are particularly proud of? (medium)
  • How do you prioritize data collection tasks when working on multiple projects simultaneously? (medium)
  • What are the ethical considerations to keep in mind while collecting and using data? (medium)
  • How do you communicate complex data analysis results to non-technical stakeholders? (medium)
  • What are some best practices for data collection and management that you follow in your work? (medium)

Closing Remark

As you explore data collection jobs in India, remember to showcase your skills and experiences confidently during interviews. With the right preparation and a strong understanding of data collection principles, you can excel in this field and make a meaningful impact in the world of data-driven decision making. Good luck in your job search!

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