11+ QA DB Jobs in Pune | QA DB Job openings in Pune

Job title: Azure Architect

Locations: Noida, Pune, Bangalore and Mumbai

Responsibilities:

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices

Experience Needed:

• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

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

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Job Title: Data Engineer

Location: Pune, India

Experience: 5 to 9 years

Job Description:

We are seeking a talented and experienced Data Engineer to join our team in Pune. The ideal candidate will have a strong background in data engineering with expertise in Python, AWS, Spark, and Scala. This role is critical to our data infrastructure, ensuring that our data pipelines are robust, efficient, and scalable.

Required Skills:

• Python: Advanced proficiency with extensive experience in building data pipelines.
• AWS: Hands-on experience with AWS services such as S3, Lambda, Redshift, Glue, and EMR.
• Spark: Proficient in using Apache Spark for large-scale data processing.
• Scala: Working knowledge of Scala for Spark programming.
• Strong understanding of data warehousing concepts and ETL processes.
• Experience with SQL and relational databases.
• Familiarity with data governance and security best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Greetings , Wissen Technology is Hiring for the position of Data Engineer

Please find the Job Description for your Reference:

JD

• Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
• Implement data ingestion processes from various sources including APIs, databases, and flat files.
• Optimize and tune big data workflows for performance and scalability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Manage and monitor EMR clusters, ensuring high availability and reliability.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
• Implement data security best practices to ensure data is protected and compliant with relevant regulations.
• Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
• Troubleshoot and resolve issues related to data processing and EMR cluster performance.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering, with a focus on big data technologies.
• Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Strong problem-solving skills and the ability to work independently and collaboratively in a team environment

Job Description – Blueprism Developer

• Design technical specifications for RPA (Blue Prism) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.
• Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.
• Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
• Complies with and helps to enforce design and coding standards, policies and procedures.
• Ensures documentation is well maintained.
• Ensures quality of coded components by performing thorough unit testing.
• Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
• Reports status, issues and risks to tech leads on a regular basis
• Improves skills in automation products by completing automation certification.
• Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

•  5- 8 years of IT experience and having good understanding of programming concepts.  Should be from a programming background on any coding language (.Net, Java).
• Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.
• Understands development methodology and lifecycle
• Should be trained on RPA tools (Blue Prism).
• Self-motivated, team player, action and results oriented.
• Well organized, good communication and reporting skills.

🎥 We’re Hiring: Videographer (Content, Shoot & Editing)

📍 Location: Pune

🕘 Timing: 9:30 AM – 6:30 PM | 🗓️ 6 Days Working

💼 Experience: 4–6 Years (F&B / Lifestyle / Hospitality / Advertising)

✨ About the Role:

Bring brands to life through creative, high-quality video storytelling for social media & campaigns!

🔹 Key Responsibilities:

🎬 Plan, shoot & edit engaging content for Reels, YouTube Shorts & campaigns

🍽️ Capture food, events, pop-ups & lifestyle moments

💡 Collaborate with marketing for fresh storytelling ideas

🎞️ Edit with effects, sound design & color grading

📸 Manage equipment, shoots & video library efficiently

🎤 Cover live events, activations & influencer collaborations

🧠 Requirements:

✅ 4–6 yrs in videography & editing (F&B/lifestyle preferred)

🎥 Skilled in Premiere Pro / Final Cut / After Effects

📱 Strong grasp of social-first video trends

📸 Hands-on with DSLR/mirrorless cameras

⚡ Creative eye & ability to multitask

📩 Interested? Send your resume.

We are looking for a self driven Sales Development Representative (SDR) responsible for prospecting and generating qualified outbound leads for our Sales Executives. The ideal candidate is results-driven, possesses strong and natural sales talents, and is committed to

creating new business opportunities.It is an individual contributor role wherein you would work with a small but highly competitive and effective team.

Responsibilities:

● Develop a thorough understanding of our product offerings and target segment.

● Prospect, qualify, follow up and educate a high volume of cold leads into prospects through

outbound channels.

● Servicing & qualifying inbound customer inquiries.

● Identifying and developing new sales opportunities.

● Contacting potential customers on LinkedIn, via phone calls and emails.

● Support Sales Executives by prospecting and scheduling qualification meetings and product

demos.

● Maintain a sufficient volume of outbound activities to achieve or exceed your monthly quota

of scheduled demos and qualified opportunities.

Requirements:

● 1 to 3 years of experience as SaaS SDR or BDR in a B2B SaaS/IT Software/IT Products

Company.

● Bachelor's Degree or relevant working experience.

● Highly motivated, driven and self-starting individual.

● Ambitious, result-oriented and has a great attention to detail.

● Strong convincing skills with active listening ability.

● Outstanding written, verbal & presentation skills.

● Must have some experience pursuing mid-market or enterprise customers.

● Have a deep understanding of how to leverage and implement a multi-pronged approach

(calls, emails, Linkedin, social selling, Sales automation tools and more).

Good to have:

● Prior experience using Sales automation and CRM systems.

● Has worked at growth stage startup

● Previous experience in HR-tech Sales.

● Education background of Computer Engineering and MBA

You will get:

● Competitive compensation package and benefits.

● Work closely with founders and be part of a truly amazing team.

● Join a fast-growing startup early, make a difference and enjoy the ride.

• 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.

• Building marketing programs to support specific marketing objectives across different channels and segments in support of the overall strategic marketing plan.
• Working with marketing agency partners to plan and execute digital app acquisition campaigns on channels like Google, Facebook and other digital platforms.
• Measuring and reporting performance of all digital marketing campaigns, and assessing against goals (ROI and KPIs).
• Leading the execution of marketing programs from start to finish, driving collaboration with the stakeholders and leveraging the right internal processes and team players.
• Making analytics and data-driven decisions to optimize acquisition & retention strategy (funnel improvement, In-app engagement, ROAS, LTV etc.).
• Providing complete performance reporting and analysis on all mobile marketing campaigns and taking relevant action on insights gained.
• Taking KRAs and brand objective ownership and commitment to meets goals and targets on a regular basis.
• Collaborating with the BD/ Sales teams to plan and execute various marketing initiatives such as events, SMS campaigns, sales training, partner collaboration etc.
• Working with cross-functional team (Product, Support, Sales) to establish growth strategies to support app growth and user acquisition targets.

• Experience in App Marketing in B2B domain is preferred.
• Minimum 4-7 years of professional experience in similar/relevant roles.
• Prior experience in performance marketing / digital marketing / growth role is a plus.
• Masters/MBA is preferred but not required.
• Familiarity with - Google Playstore/Console, Firebase/Branch/MixPanel, Appsflyer/TUNE etc.
• Proven track record of delivering user acquisition growth, retention, and optimization across key mobile metrics is a plus.
• Strong analytical skills: bias toward decision making based on data, and good proficiency with Excel and using it to configure, analyze, and present data.
• Ability to think and react in a high-energy, fast-paced environment.
• Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines.