Pyspark Lead/Pyspark Dev

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time

analytics architectures.

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

Job Title: Assistant Manager - Finance

Andheri East

Job Responsibilities:

 Preparation Financials: Ensuring accurate and timely preparation of the financial statements

as per Indian Accounting Standards (Ind AS) and consolidation.

 Monthly Finance MIS: Preparing monthly Management Information System (MIS) reports to

track financial performance.

 Quarterly Results: Compiling and presenting financial results to meet quarterly reporting

deadlines.

 Annual Report Preparation: Managing the preparation and review of the company’s annual

report, ensuring compliance with statutory requirements.

 Taxation: preparation of Tax Audit Report and filing of Income Tax returns, TDS Returns.

Preparing data of Income tax assessments.

 Indirect Tax: preparation and filing of GST returns

Key Qualifications:

 Educational Requirements: Commerce graduate/postgraduate (B.Com/M.Com) or CA

Intermediate or ICWAI.

 Experience: Minimum 7 to 10 years of experience in a finance or accounting role.

 Preferred Experience: Experience in a listed company is highly desirable.

 Technical Skills: Strong understanding of Ind AS, accounting principles, and commercial

knowledge.

 Software Skills: Proficiency in Oracle NetSuite, Tally, MS Excel, Word, MS Power Point.

Key Competencies:

 Expertise in Ind AS and experience with financial statement preparation in compliance with

these standards.

 Strong analytical and problem-solving skills, especially in financial reporting and statutory

compliance.

 Excellent attention to detail and organizational skills to manage monthly, quarterly, and

annual financial cycles.

 Ability to work effectively with cross-functional teams, including Auditors and Management.

Preferred Qualities:

 Candidates with exposure to a listed company will be preferred due to familiarity with

compliance and reporting standards for publicly traded companies.

 Hands on experience of NetSuite Oracle ERP.

• Model Development and Deployment:
• Design, develop, and implement machine learning models for various applications (e.g., classification, regression, natural language processing, computer vision).
• Deploy and maintain machine learning models in production environments.
• Optimize model performance and efficiency through feature engineering, hyperparameter tuning, and model selection.
• Build and maintain scalable machine learning pipelines.
• Data Engineering and Management:
• Work with large datasets, including data cleaning, preprocessing, and feature extraction.
• Develop and maintain data pipelines for data ingestion, transformation, and storage.
• Ensure data quality and consistency.

Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code

SUMMARY:-

• Implement integrations requested by customers
• Deploy updates and fixes
• Provide Level 2 technical support
• Build tools to reduce occurrences of errors and improve customer experience
• Develop software to integrate with internal back-end systems
• Perform root cause analysis for production errors
• Investigate and resolve technical issues
• Develop scripts to automate visualization
• Design procedures for system troubleshooting and maintenance

Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code

Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening

Ability to understand business requirements and translate them into technical requirements

• Write clear, concise, and complete sentences
• Focus on key responsibilities critical to the position
• Base the content on the responsibilities and duties of the position
• Include expectations of a fully proficient incumbent meeting all position requirements
• When indicating the percentage of time spent on each duty, consider what is performed over a given period of time
• The percentages must total 100% and should not be smaller than 5% or greater than 50%
• Use explanatory phrases telling why, how, where, or how often to add meaning and clarity

1. Java development knowledge is a must

1. Springboot preferred
2. 2.AWS exposure is a must
3. Engineering degree in Computer Science, Electronics and, Communication or Information Science.

1. Or MCA is agreeable.
1. Location: Bangalore

• Defining, implementing and executing regression and stress automation tests focused on embedded software and device firmware level
• Analyzing automation test results for failures, identifying issue trends and quantifying impact
• Isolating and reporting defects effectively quantifying customer impact and verifying fixes through regression testing and other test methodologies
• Working cross-functionally with other QA teams, Developers and Project Managers

Desired Candidate Profile

• BE– CS/ECE, MS, ME, MTech
• 2+ years of QA experience, preferably on consumer hardware/ software products
• Automation experience in modern scripting or compiled languages (Python, JavaScript, C etc.)
• Experience with hardware and/ or software development lifecycle processes
• Knowledge of Unix and Unix shell scripting
• Ability to communicate technical concepts to a non-technical audience
• Deep understanding of SQA methodologies and practices
• Ability to solve hard problems with creative and sustainable solutions
• Be detail-oriented and strive for the best product for our customers
• Self-motivated with the ability to drive features to delivery
• Should have strong hands on experience in developing applications
• Strong analytical and problem solving skills
• Excellent oral and written communication skills
• Good logical sense, strong technical skills and the ability to learn new technologies quickly    

We are looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply.

We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you.

All successful candidates are expected to dive deep into problem areas of Zycus’ interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization.

Skills:

• Experience in predictive modelling and predictive software development
• Skilled in Java, C++, Perl/Python (or similar scripting language)
• Experience in using R, Matlab, or any other statistical software
• Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications
• Strong communication and data presentation skills

• Classification (svm, decision tree, random forest, neural network)
• Regression (linear, polynomial, logistic, etc)
• Classical Optimization(gradient descent, newton raphson, etc)
• Graph theory (network analytics)
• Heuristic optimisation (genetic algorithm, swarm theory)
• Deep learning (lstm, convolutional nn, recurrent nn)

Must Have:

• Experience: 3-9 years
• The ideal candidate must have proven expertise in Artificial Intelligence (including deep learning algorithms), Machine Learning and/or NLP
• The candidate must also have expertise in programming traditional machine learning algorithms, algorithm design & usage
• Preferred experience with large data sets & distributed computing in Hadoop ecosystem
• Fluency with databases