Senior Data Engineer

About Us

Wednesday Solutions is a digital solutions provider based in Pune. We specialise in assisting digital-first businesses in solving their most complex engineering problems. Our expertise lies in data engineering, generative and applied AI, and app development for web, mobile, and IoT applications. We offer a range of services tailored to meet our clients' unique needs.

Role Description

This is a full-time on-site (Pune) role for a Talent Acquisition Specialist. We are seeking a proactive and passionate Talent Acquisition Specialist to join our team. In this role, you will be responsible for attracting, sourcing, and recruiting top talent to help us achieve our strategic goals.

Key Responsibilities:

• 2-3 Years of Experience in Tech and Non-Tech Recruitment
• Exceptional Interpersonal and Communication Skills
• Adaptability and Quick Learning Ability
• Comprehensive Recruitment Lifecycle Experience
• Relationship Building and Maintenance
• Growth Mindset and Dedication to Continuous Learning

Qualifications:

• Bachelor’s degree in Human Resources, Business Administration, or a related field.
• 2-3 years of experience in talent acquisition or recruitment.
• Proven track record of successfully recruiting for a variety of roles, including IT and non-IT positions.

Skills:

• Excellent communication skills (spoken, written, and reading).
• Stakeholder management.
• Proficiency with Applicant Tracking Systems (ATS).
• Priority management and decision-making.
• Ability to work independently and as part of a team in a fast-paced environment.
• 
  

Benefits

• Mentorship: Work next to some of the best engineers and designers.
• Freedom: An environment where you get to practice your craft. No micromanagement.
• Comprehensive healthcare: Healthcare for you and your family.
• Growth: A tailor-made program to help you achieve your career goals.
• A voice that is heard: We don't claim to know the best way of doing things. We like to listen to ideas from our team.

Finance Controller

Location-

Gurgaon

Full

time

About Qrata:Itis a talent-first-focused service-enabled platform that builds TRUSTED CONNECTIONS between talent and organizations via transparent communications and

two-sided intelligence.

The Company:

Our client was founded in 2017, it is a Series B funded growth-stage egg brand

and Agritech start up, funded by IvyCap Ventures, NabVentures, Avaana Capital,

Rebright Partners and Others. The founders Abhishek Negi, Uttam Kumar, Aditya

Singh are alumni of IIT – Kharagpur.

They are building a brand

of eggs in a $12 Billion egg consumption market which is growing at rapidly at

15% annually. With growing demand for hygienic and branded foods, Eggoz is

striving to build the largest branded egg company and organize the egg sector.

It aims to deliver superior nutrition with sustainable farming, aim at better

income for farmers and strive for 24-hour freshness ‘chicken to plate’, thereby

holistically attempting to solve the current challenges in the industry.

The business model is

asset-light and tech-first where farmers are on boarded to an integrated

platform, which includes poultry feed & nutrition integration using only

herbal ingredients, and bird management technology to improve farmer income.

It is leading and fastest

growing brand of eggs. Its products are available in Omni-channel retail in 5

major metro cities and nearby non-metro towns. In the next phase, Eggoz aspires

to become a household brand. It is looking to scale the brand and platform to

rest of the country and build the largest national brand of eggs. It aims to

build excitement around eggs and build the entire category of eggs and

egg-based products.

You

will enjoy being a part if you

• Are Hungry enough to get

your hands dirty and hustle through.

• Have First principles

approach towards any problem.

• Are Humble to accept

mistakes and work collaboratively to find answers.

• Love being part of a 0 to

1 and 1 to 10 journey.

Job

Summary:

The Finance Controller is a

crucial role within the finance department, responsible for overseeing and

managing all aspects of financial operations and reporting for the

organization. This role ensures accuracy, compliance, and efficiency in

financial activities while providing strategic guidance to senior management

for making informed business decisions.

Key

Responsibilities include:

Financial

Reporting:

o

Prepareandreviewmonthly,quarterly,andannualfinancialstatements,ensuring

accuracy and compliance

with accounting standards (e.g., GAAP/IFRS).

o

Consolidatefinancialdatafromvariousdepartmentsorsubsidiaries,ensuringtimely

and accurate reporting to

management and external stakeholders. § Internal Controls and Compliance:

o

Establishandmaintaininternalcontrolprocedurestosafeguardtheorganization's

assets and ensure compliance with regulatory requirements.

o

Monitorfinancialtransactionsandprocessestoidentifyandmitigateanypotential risks

or discrepancies.

o

Coordinatewithexternalauditorsforannualauditsandreviews. § Cash Flow

Management:

o

Managecashflowandliquiditytoensuresufficientfundsareavailableforoperational

needs and strategic investments.

o

Implementcashflowforecastingandanalysistopredictpotentialliquiditychallenges

and develop appropriate solutions.

Financial

Operations:

o

Superviseandmanagetheaccountingteam,ensuringaccurateandtimelyrecordingof

financial transactions,

including accounts payable, accounts receivable, and general

ledger entries.

o

Reviewandapprovefinancialtransactions,invoices,andexpensereports. o

Overseepayrollprocessingandtaxcompliance.

Strategic

Financial Guidance:

o

Collaboratewithseniormanagementtoprovidefinancialinsightsand

recommendations that align

with the organization's goals and growth plans.

o

Participateinbusinessstrategydiscussions,mergersandacquisitions,andcapital

investment decisions.

Team

Leadership and Development:

o

Leadandmentorthefinanceteam,fosteringacultureofcollaboration,growth,and

continuous improvement.

o

Providetrainingandprofessionaldevelopmentopportunitiestoenhanceteam

members' skills and

knowledge.

Candidate

Skills & Qualifications

• Bachelor's degree in

Finance, Accounting, Business, or a related field. MBA or CPA/CMA/CFA

certification is a plus.

• Proven experience

(typically 8+ years) in finance or accounting roles, with at least 3-5 years in

a managerial or supervisory capacity.

• Strong understanding of

financial principles, regulations, and reporting standards.

• Proficiency in financial

software, ERP systems, and advanced Excel skills.

• Excellent analytical,

problem-solving, and decision-making abilities.

• Partners with business stakeholders to translate business objectives into clearly defined analytical projects.
• Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques for the specific business problem and then build the models that solve the problem.
• Own the end-end process, from recognizing the problem to implementing the solution.
• Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.
• Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.

• 12 to 15 yrs of experience.
• An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.
• Experience with text mining, parsing, and classification using state-of-the-art techniques.
• Experience with information retrieval, Natural Language Processing, Natural Language
• Understanding and Neural Language Modeling.
• Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.
• Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, sci-kit-learn, NLTK, Gensim, etc.
• Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.

Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.

Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.

• Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.

• Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.

• Perform data analysis required to solve data related issues and assist in the resolution of data issues.

• Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.

• 3-6 years of relevant work experience in a Data Engineering role.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Experience building and optimising data pipelines, architectures and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Strong analytic skills related to working with unstructured datasets.

• Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.