4 Data Flow Jobs
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4.0 - 8.0 years
Navi mumbai
Work from Office
We are seeking a seasoned Data Architect and Project Manager to lead enterprise-scale data platform initiatives on Azure. The role combines architectural design, governance, and delivery leadership across Microsoft Fabric, Databricks, and ADF environments. Key Responsibilities: Define the enterprise data architecture strategy using Fabric, Databricks, and Azure core services. Lead multi-phase implementation across ingestion, transformation, and analytics. Oversee Lakehouse design, semantic modeling , and gold layer development . Manage project planning, Agile delivery, and stakeholder communications . Implement DevOps automation, monitoring, and governance frameworks . Mentor data engineers,...
Posted 6 days ago
6.0 - 8.0 years
Hyderabad
Work from Office
28 Wed 12 to 1 PM Hyderabad 6 - 8 Years Immediate Joiners 29 Thur 12 to 1 PM Hyderabad 6 - 8 Years Immediate Joiners 30 Friday 12 to 1 PM Hyderabad 6 - 8 Years Immediate Joiners Please read Job description before Applying NOTE: If the skills/profile matches and interested, please reply to this email by attaching your latest updated CV and with below few details: Name: Contact Number: Email ID: Highest Qualification in: (Eg. B.Tech/B.E./M.Tech/MCA/M.Sc./MS/BCA/B.Sc./Etc.) Current Organization Name: Total IT Experience- 7+ Yrs Location: Hyderabad Current CTC Expected CTC Notice period: Whether worked with TCS - Y/N GCP Services: BigQuery, Cloud Storage, Dataproc, Cloud Composer (managed Airflo...
Posted 1 week ago
6.0 - 10.0 years
Pune, Maharashtra, India
On-site
Position Overview Job Title: GCP Data & AI Engineer, AS Location: Pune, India Role Description: It's a GCP Data & AI Engineer role, performing end to end development of integrations, data preparation/synthesization/transformation, data quality, data storage workloads, along with usage of the prepared data for advanced data analytics and various AI use cases. It encompasses the L3 support activities as well for the implemented workloads. What We'll Offer You As part of our flexible scheme, here are just some of the benefits that you'll enjoy Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industr...
Posted 1 week ago
4.0 - 8.0 years
Hyderabad, All india
On-site
As a Senior Business Aligned Finance Analyst at Wells Fargo, you will play a crucial role in leading or participating in moderately complex initiatives, providing expertise to develop company objectives and standards, reviewing and analyzing data for planning and decision-making, researching forecasting projections, managing financial reporting, and working on significant and unique issues. You will also be responsible for developing strategies, making recommendations for financial planning, leading project implementations, establishing effective reporting delivery, and collaborating with peers and mid-level managers in finance to resolve issues and achieve goals. **Key Responsibilities:** -...
Posted 2 weeks ago
Exploring Data Flow Jobs in India
The data flow job market in India is booming with opportunities for skilled professionals. With the increasing reliance on data-driven decision-making across industries, the demand for data flow experts is on the rise. Whether you are a recent graduate or an experienced professional looking to transition into this field, there are ample job openings waiting for you in India.
Top Hiring Locations in India
- Bangalore
- Hyderabad
- Pune
- Mumbai
- Delhi-NCR
These cities are known for their strong presence of tech companies and offer a plethora of opportunities for data flow roles.
Average Salary Range
The average salary range for data flow professionals in India varies based on experience and expertise. Entry-level positions can expect to earn between INR 4-6 lakhs per annum, while experienced professionals with advanced skills can command salaries upwards of INR 15 lakhs per annum.
Career Path
In the data flow domain, a typical career path may include roles such as: - Junior Data Analyst - Data Engineer - Data Scientist - Senior Data Architect - Chief Data Officer
As you gain experience and expertise, you can progress to higher positions with increased responsibilities and leadership opportunities.
Related Skills
Apart from expertise in data flow tools and technologies, professionals in this field are often expected to have skills in: - Data visualization - Machine learning - Statistical analysis - Programming languages (Python, R, SQL)
Interview Questions
- What is ETL and how does it relate to data flow? (basic)
- Explain the difference between batch processing and real-time processing. (medium)
- How would you handle missing data in a dataset? (medium)
- Can you explain the concept of data normalization and why it is important? (medium)
- What is the difference between supervised and unsupervised learning? (basic)
- How would you optimize a data pipeline for performance? (advanced)
- Can you describe a challenging data flow problem you encountered in a previous project and how you solved it? (advanced)
- What is the role of Apache Kafka in data flow architectures? (medium)
- How do you ensure data quality and consistency in a data flow process? (medium)
- Explain the concept of data lineage and its importance in data flow management. (advanced)
- What are the advantages of using a distributed data processing framework like Apache Spark? (medium)
- How do you handle data security and privacy issues in a data flow environment? (advanced)
- Can you explain the concept of data partitioning and its benefits in parallel processing? (medium)
- How would you approach data profiling and data quality assessment in a new dataset? (medium)
- What are the key components of a data flow architecture? (basic)
- How do you handle data skew in distributed data processing? (advanced)
- Explain the concept of data replication and its use cases in data flow management. (medium)
- How do you stay updated with the latest trends and technologies in the data flow domain? (basic)
- Can you describe a scenario where you had to optimize a data flow process for cost efficiency? (advanced)
- What are the common challenges faced in designing and implementing data pipelines? (medium)
- How do you ensure data integrity and consistency in a distributed data processing environment? (advanced)
- Can you explain the difference between stream processing and batch processing? (basic)
- Describe a time when you had to troubleshoot a data flow issue in a production environment. (medium)
- How would you handle a sudden increase in data volume in a data flow pipeline? (advanced)
Closing Remark
As you embark on your journey to explore data flow jobs in India, remember to equip yourself with the necessary skills and knowledge to stand out in a competitive job market. Prepare diligently, showcase your expertise, and apply confidently to secure exciting opportunities in this growing field. Good luck!
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