- Mandatory - Hands on experience in Python and PySpark.
- Build pySpark applications using Spark Dataframes in Python using Jupyter notebook and PyCharm(IDE).
- Worked on optimizing spark jobs that processes huge volumes of data.
- Hands on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon EMR, Lambda function etc
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
- Experience/knowledge of bash/shell scripting will be a plus.
- Experience in working with fixed width, delimited , multi record file formats etc.
- Hands on experience in tools like Jenkins to build, test and deploy the applications
- Awareness of Devops concepts and be able to work in an automated release pipeline environment.
- Excellent debugging skills.

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What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 5+ years of professional data engineering experience.
- Experience designing and building cloud-native data solutions.
- Strong expertise with Google Cloud Platform, including BigQuery. Experience developing transformation frameworks using dbt.
- Strong SQL and Python programming skills.
- Experience with PostgreSQL or other relational databases.
- Experience orchestrating workflows using Apache Airflow or Cloud Composer.
- Experience implementing Infrastructure as Code using Terraform. Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar platforms.
- Experience developing scalable batch and streaming data pipelines. Strong problem-solving skills with the ability to balance scalability, reliability, and cloud cost optimization.
Preferred Qualifications
- Experience with Pub/Sub, Datastream, Dataflow, Cloud Storage, Cloud Functions, or Cloud Run.
- Experience building multi-tenant SaaS platforms.
- Experience implementing metadata-driven governance, lineage, and data quality frameworks.
- Experience supporting AI, machine learning, or customer-facing analytics platforms.
- Experience with Kubernetes and Docker.
· Strong hands‑on experience implementing and supporting enterprise MFT platforms, with solid exposure to SEEBURGER BIS/MFT.
· Proven expertise in secure file transfer protocols and connectivity patterns (e.g., SFTP/FTPS/AS2/HTTPS, APIs as applicable).
· Strong understanding of migration methodologies and integration architecture to analyze existing flows and migrate/rebuild integrations.
· Working knowledge of SEEBURGER BIS components such as MFT, Process Designer, monitoring/message tracking
· Experience in Linux/Unix environments with scripting capability (Shell/Python preferred) for automation/support activities.
What We’re Looking For
- 3-5 years of Data Science & ML experience in consumer internet / B2C products.
- Degree in Statistics, Computer Science, or Engineering (or certification in Data Science).
- Machine Learning wizardry: recommender systems, NLP, user profiling, image processing, anomaly detection.
- Statistical chops: finding meaningful insights in large data sets.
- Programming ninja: R, Python, SQL + hands-on with Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar).
- Visualization skills: Redshift, Tableau, Looker, or similar.
- A strong problem-solver with curiosity hardwired into your DNA.
- Brownie Points
- Experience with big data platforms: Hadoop, Spark, Hive, Pig.
- Extra love if you’ve played with BI tools like Tableau or Looker.
Job Title: Remote Client Relations Specialist
Location: Remote (Work from Home)
Hours: US Business Hours
Employment Type: Full-time/Part-time
Job Overview:
We are looking for a smart, highly communicative, and polished individual to join our team as a Remote Client Relations Specialist. The ideal candidate will be responsible for handling calls and providing exceptional service to our US-based clients. We need someone with a fast-paced mindset who is comfortable making and receiving calls while maintaining professionalism and clarity at all times.
Responsibilities:
- Make outbound and receive inbound calls to/from US clients
- Provide clear, concise, and professional communication with clients
- Address client inquiries and provide solutions promptly
- Maintain strong client relationships through effective communication
- Troubleshoot and resolve client issues, ensuring a positive experience
- Document interactions and follow up on necessary actions
- Collaborate with internal teams to ensure client needs are met
- Adapt quickly to new processes or updates in client services
- Meet key performance metrics and deadlines consistently
Requirements:
- Excellent Communication Skills: Must be able to articulate ideas clearly and be highly polished in both written and verbal communication
- Fast and Efficient: Ability to think on your feet, multitask, and keep up with a fast-paced work environment
- Client-Focused: Comfortable building relationships with clients and providing exceptional customer service
- Tech-Savvy: Proficient with CRM software, email, and call systems
- Reliable: Strong organizational skills, attention to detail, and ability to meet deadlines
- US Work Hours: Available to work US business hours (9 AM - 5 PM EST/PST)
- Previous Experience: Experience in a client-facing role or customer service is a plus
- Polished: Professional appearance and demeanor on calls and emails
Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data
solutions, from data architecture and ingestion to processing, analysis, and reporting. This role
ensures that data projects are completed on time, within scope, and aligned with business
objectives. The Data Delivery Manager works with cross-functional teams, including data
engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key
Responsibilities: Project and Program Management: o Lead and manage the delivery of data-
driven projects, ensuring they are completed on time and within budget. o Develop and maintain
project plans, timelines, and resource allocation. o Monitor project progress and proactively
identify risks, implementing solutions to ensure successful project completion. o Ensure alignment
between data initiatives and business goals, maintaining continuous communication with
stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business
stakeholders and the data team, translating business requirements into technical specifications. o
Collaborate with business leaders to understand data needs and develop solutions that meet
those needs. o Provide regular updates on project status, risks, and key deliverables to
stakeholders and leadership teams. o Facilitate meetings to gather requirements and
communicate project milestones. Data Strategy & Architecture: o Oversee the design and
implementation of data solutions that support business objectives. o Ensure adherence to data
governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data
architects to define scalable, secure, and high-performance data architectures. o Support data
integration initiatives across different platforms, ensuring smooth and efficient data flow. Team
Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and
other professionals to deliver projects effectively. o Provide leadership and mentoring to team
members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear
expectations, performance goals, and career development opportunities for the team. o Address
and resolve any team challenges, ensuring high levels of productivity and motivation. Quality
Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust
testing, validation, and review processes. o Develop and enforce data standards, best practices,
and methodologies to ensure consistent, high-quality deliverables. o Drive continuous
improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk
Management and Troubleshooting: o Identify potential risks to project delivery, including data
pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o
Troubleshoot and resolve data-related issues and challenges during the project lifecycle.
Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and
performance metrics. o Ensure that data solutions provide actionable insights for the business,
driving informed decision-making. Experience: o 5+ years of experience in managing programs
related to data management, data engineering, or analytics. o Proven track record in managing
data projects and delivering data solutions in a timely manner. o Experience with data integration,
data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL
processes, and data analytics. Skills: o In-depth knowledge of data management tools and
technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).
o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership
and team management skills, with the ability to drive collaboration across different functions. o
Excellent communication skills with the ability to translate complex data-related concepts into
understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-
solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,
Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master
certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google
Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies
(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data
solutions. o Experience with data governance and compliance (e.g., GDPR).
Roles and Responsibilities :
Responsibilities
- To analysis business requirements, prepare design and implementation recommendations and estimate development effort
- Collaborate with cross-functional teams to define, design, and ship new features
- Lead or participate in design reviews, code reviews and architecture evolution discussions
- Unit-test code for robustness, including edge cases, usability, and general reliability
- Work on bug fixing and improving application performance
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency
Required Skills
- Experienced with front-end programming language with React JS.
- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
- Thorough understanding of React.js and its core principles.
- Experience with popular React.JS workflows (such as Flux or Redux)
-Experience on .Net Core
-Experience in database MS SQL
Tele Sales Executive
Homes247.in is seeking active and cheerful Female Tele Sales Executives for our Bangalore Branch. The candidates must have excellent communication skills and persuasive skills.
Be a part of India's Favourite Real Estate Portal and scale up your career with the best.
Qualifications (FEMALE CANDIDATES ONLY)
PUC/ Any Degree
1-3 years experience
Leadership
Pleasant Personality & Voice
Enthusiasm
Communication and Negotiation Skills
Punctual and Dedicated
Job Description
Contact potential or existing customers to inform them about multiple projects and service
Good knowledge about the locations in Bangalore is preferred
Direct prospects to the field sales team when needed
Ability to form and lead CSE Teams
Handle grievances and follow up customer requirements
Keep records of calls and sales and note useful information
Explain about the project or the brand to the customers.
PAY-SCALE - BEST IN INDUSTRY
Come and Be a Part of India's Favourite Property Portal and scale up your career with the best!
Responsibilities:
.Approaching potential leads and closing them within a stipulated time frame.
.Create exclusive distributors, exclusive super stockists and business associates for the company towards business growth.
.Guide, coordinate and make strategic marketing plans for the sales team working under his jurisdiction.
.Finding and developing new markets and improving sales.
.Keep abreast with stock reports, inventory, product orders, re-order etc.
.Training personnel and helping team members in developing their skills.
Requirements:
.Bachelor's degree in business, marketing or a related field.
.Experience in sales, marketing or related field.
.Strong communication skills .
.Excellent organizational skills.
.Proficient in Word, Excel, Outlook, and Powerpoint.
Profile : Social Media Executive (Client Servicing)
Exp: 6 months-2 years
Role: To manage social media accounts of CarWale’s Dealer Partners generating content for social media engagement.
Key Outcomes Expected:
Should be good at understanding client requirements and deliver basis commitment
Ideating, Posting and Promoting content on Social Media platforms (majorly Facebook & Instagram)
Ideating with the team on how to further build the dealer social platforms
Researching on various creative and ad formats available on the social platforms
Coordinate with design team to get creatives in place for social media accounts
Creation of content calendar
Competencies needed to deliver the desired outcome:
- Conceptualising creative ideas for designing
- Creative writing skills to be able to add value to social media engagement
- Good communication skills, to be able to timely & tactfully respond to mails and posts
- Active listener
- Active social media user - FB | Twitter | Instagram
- An eye for detail
- Ability to check and correct text matter
- Team player
Other traits:
- Enthusiastic
- People’s person
- Self-motivated
- Interpersonal skills
- Agile and adaptable
- Open to working on weekends from home
- Time Management
Experience / Qualification / Other Requirements:
- Graduates - BMM/BMS









