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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.
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We will be providing Cab for the pick-up & Drop, (Night Shift Allowances will be given & Cab’s aren’t chargeable)
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We are looking for candidates who have a **strong development background along with Systems Architecture experience and want to make their career in Consulting Engineering,** This role isn't limited to the software development or support, it involves less coding but more Consulting, Architectural designing/High Availability system designing, Solutioning, Migration, Optimization, customer handling, etc. The ideal candidate should be a highly technical individual, with strong problem-solving and communication skills, and comfortable working remotely to match customer time zones for our Atlas customers.
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Maintain the required level of billable utilization
Influence MongoDB product development by contributing experience from the field
Successfully communicate the product roadmap to external clients
Constantly work on improving yourself, our products and our team
Do you know, Why MongoDB is a fantastic place to work and build your career?
Disrupting a $64 Billion market
Top NoSQL database in the world
Largest Ecosystem and the fastest growing database in the world
Close to 17,000 customers in over 100 countries and over 90+ million downloads
120% net ARR expansion rate over each of the last twenty quarters
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9-figure revenue company, with very high double-digit growth rates
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Enjoy a fun, inspiring culture that is engineering focused
Work with talented people around the globe
Learn, contribute, and make an impact on the product and community
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**Our India office culture**
180+ people, with teams in Sales, Engineering, HR, Finance, IT & Marketing
Regular group outings and opportunities to get to know your colleagues
Employee affinity groups
Our Benefits
**Competitive salary and EQUITY**
Comprehensive Health cover, dental cover, travel insurance & Life Insurance.
Free lunch twice per week and a fully stocked kitchen with healthy and sweet treats
Macbooks are company standard
**26 weeks Maternity & 20 Paternity leave** to spend time with new arrivals
*MongoDB is an equal opportunities employer*
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