Dear Team,
Client is going through some changes in internal management until then the Position is on HOLD.
Kindly donot share any more profiles since the client won’t consider the same.
The candidates whose interviews were in process are also kept on hold till further notice.
Thank you for the continuous support.
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Hi Team,
Request you all to stop sourcing for this position until further intimation as we have already submitted sufficient no. of profiles.
Client is in process of shortlisting and will get back to us in few days.
All fresh profiles shared up to 6.00 PM today will be shared with the client.
Request you all to not share any profiles post that. Appreciate your support.
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Dear Team,
Kindly share tracker in below format:
Date Of profile sharing with TA Team | Candidate Name | Candidate Number | Candidate personal email ID | Current/Last Organisation | Current/Last Designation | Candidate Skill Set | Current Fixed CTC(LPA) | Expected Fixed CTC(LPA) | Holding any offer( fixed CTC) | Notice Period | Highest Qualification(University) (No JNTU, Only UGC Recognized Andhra University will be considered) | Total Exp (yrs) | Relevant Exp (yrs) | Current Location |
Interview Process:
· Post CV Screening Jasmine will provide a time slot to connect your candidate for a con call
· Post her short listing, candidate’s profile will be shared with the client
· Only process the candidate who can join immediately or within 30 days (Buyout option is available)
· For candidates with more than 30d NP, please share only if can buyout NP
· Permanent Remote Working
· Candidate can be based anywhere in India
Date Of profile sharing with TA Team | Candidate Name | Candidate Number | Candidate personal email ID | Current/Last Organisation | Current/Last Designation | Candidate Skill Set | Current Fixed CTC(LPA) | Expected Fixed CTC(LPA) | Holding any offer( fixed CTC) | Notice Period | Highest Qualification(University) (No JNTU or any Andhra University) | Total Exp (yrs) | Relevant Exp (yrs) | Current Location |
Company Website: http://www.exponentia.ai/
Product Website: https://www.engagely.ai/
Exponentia is an AI tech organization with presence across India, Singapore, Middle East, and the UK. We are an innovative and disruptive organization, working on cutting edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision making to improve productivity, quality, and economics of the underlying business processes. Currently, we are transforming ourselves and rapidly expanding our business.
Exponentia has developed long term relationships with world class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia has recently been awarded ‘Innovation Partner Award’ by Qlik in 2017.
Job Code | JC/ 1618 |
Process | Big Data Engineer- Spark Developer |
No of Openings | 7 |
Gender | Male/Female |
About Process | This role will act as a bridge between backend IT function and the wider global analytics team and is focused on delivering crucial data solutions to meet the needs of the business. |
You will manage the pipelining (collection, storage, access), engineering (cleansing, feature creation / selection) and understanding (documentation, exploration) of the data; | |
Acquire, create and manage innovative data assets for the team. These assets will draw from various sources – internal and external systems, flat files, databases and external APIs; | |
Evaluate user requests for new or re-engineered analytics and reporting solutions to determine their feasibility, time requirements and their compatibility with current systems and architecture standards; | |
Active participation in the development of the data lake, data marts and subsequent enhancements, including the creation of new data solutions to support development of analytic capabilities; | |
Interact with stakeholders regarding data availability and report format/presentation, to ensure the report provides the information the stakeholders need without compromising the report’s accuracy; | |
Deliver new capabilities to the business through agile methods – experiences with Scrum and Jira are a plus. | |
Title | Big Data Engineer- Spark Developer |
Location | Remote Working |
Requirement | The ability to design, implement and use effective database structures to ensure data is organised effectively and ready for downstream development of data science and analytics; |
Experience working in a structured environment and desire for good documentation, exceptional delivery, effective organisation, and high-quality communication; | |
Experience of Big Data platforms, enabling non-technical users to gain insights into key business metrics; | |
Experience in big data tools like spark, pyspark | |
Hands on experience with modern data storage systems (e.g. S3, Snowflake, Athena, Glue); | |
Feeling comfortable using AWS, Kubernetes, Docker and Airflow; | |
Strong SQL and data profiling skills; | |
Hands-on ELT experience using tools like Streams and Tasks or DBT; | |
Familiarity with a traditional BI application such as Power BI, Tableau or Spotfire; | |
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. | |
Knowledge of data types including JSON, XML, YAML is a plus; | |
Solid understanding of data warehousing principles, concepts and best practices (e.g. ODS, Data Mart, Data Lakes, Data Vault); | |
Strong problem solving and analytic skills. | |
| Any Graduate - Any Specialization (B.Sc. (IT), M.Sc. (IT), BCA, MCA, B.E Computers) with good academic qualifications with 3 years exp |
Shift timings | General Shift (9 am - 6 pm / 10 am - 7 pm) |
Transport Boundaries | NA |
Transport Facilities | NA |
Salary Range | 10-18 LPA |
Weekly Off | Saturday and Sunday fixed off |
Age | Upto 40 years |
USP | Brand, Designation, Growing industry, Growth opportunity, Learning opportunity, Weekend off |
Rounds of Interview | HR (Check previous experience, Qualification, Age, Communication skills, Compensation, Stability) |
Operations (Check stability & discuss salary) | |
Documents | Educational + Identity Proof + Residential Proof + Salary Proof (Bank Statement/Payslip) + Relieving documents |
Clawback | 90 Days |
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