4+ Data processing Jobs in Bangalore (Bengaluru) | Data processing Job openings in Bangalore (Bengaluru)

Job Location: Hyderabad/Bangalore/ Chennai/Pune/Nagpur

Notice period: Immediate - 15 days

1.      Python Developer with Snowflake

Job Description :

1. 5.5+ years of Strong Python Development Experience with Snowflake.
2. Strong hands of experience with SQL ability to write complex queries.
3. Strong understanding of how to connect to Snowflake using Python, should be able to handle any type of files
4.  Development of Data Analysis, Data Processing engines using Python
5. Good Experience in Data Transformation using Python. 
6.  Experience in Snowflake data load using Python.
7.  Experience in creating user-defined functions in Snowflake.
8.  Snowsql implementation.
9.  Knowledge of query performance tuning will be added advantage.
10. Good understanding of Datawarehouse (DWH) concepts.
11.  Interpret/analyze business requirements & functional specification
12.  Good to have DBT, FiveTran, and AWS Knowledge.

GCP  Data Analyst profile must have below skills sets :

• Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
• Data cleansing, data visualization, data wrangling
• Data modeling , data warehouse concepts
• Adapt to Big data platform like Hadoop, Spark for stream & batch processing
• GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)

About the Organization

Real Estate Syndicators leverage SyndicationPro to manage billions in real estate assets and thousands of investors. Growing at 17% MoM,  SyndicationPro is #1 Platform To Automate Real Estate Fund Raising, Investor Relations, & Close More Deals!

What makes SyndicationPro unique is that it is cash flow positive while maintaining a healthy growth rate and is backed by seasoned investors and real estate magnates. We are also a FirstPrinciples.io Venture Studio Company, giving us the product engineering, growth, and operational backbone in India to scale our team. 

Our story has been covered by Bloomberg Business, Yahoo Finance, and several other renowned news outlets. 

Why this Role

We are scaling our Customer Support & Success organization and you will have the opportunity to see how the systems and processes are built for an SaaS company that is rapidly scaling. Our Customer Support & Success Team is led by expierened SaaS Operators who can provide you the guidance and mentorship to growth quickly. You will also have the oppurtunity for faster than normal promotion cycles. 

Roles and Responsibilities

• Work on Migrating sensitive customer data from a third-party investment platform or Excel to SyndicationPro with minimal supervision.
• Understand the client’s needs and set up the SyndicationPro platform to meet customer expectations.
• Analyze customer expectations and data to share an expected completion time.
• To manage multiple migrations at the same time to ensure migrations are completed within the stipulated time.
• Work closely with internal and customer-facing teams to deep dive on a customer migration request and workflow using our systems to ensure nothing falls to the bottom of the to-do list
• Reviewing data for deficiencies or errors, correcting any incompatibilities, and checking the output.
• Keep current on product releases and updates

Desired candidate profile:

• Proven data entry or Migration work experience will be an asset
• Experience with MS Office and data programs
• Attention to detail
• Confidentiality
• Organization skills, with an ability to stay focused on assigned tasks

Expectations from the candidate:

• 0-2 years of experience. Prior experience in SAAS environments will be an added advantage
• Resolve processing migration problems working with the technical team
• Pay attention to detail to maintain Data accuracy 
• Self Motivated and willing to excel in strict /short deadline
• Have the ability to multitask as needed and time management skills
• Must be comfortable working during night shifts.
•  

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.