Time since we first saw it
Day 156
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,069 similar postings that came down. Coming down is not always a hire.
Bhubaneswar, India
Open 5 months, first seen by us 156 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Location: Bhubaneswar, India Job Type: Full-time Spikewell India Pvt. Ltd (a subsidiary of Spikewell LLC, USA) is a rapidly growing Information Technology products and services company. We pioneer in providing innovative, scalable, robust, and secure solutions in the ever-changing technology landscape of Web, Mobile, Cloud, AI/ML, and Blockchain technologies. Spikewell's portfolio includes leading consumer banks, large health care institutions, and rapidly growing AdTech companies. We are constantly pursuing acquiring and retaining the best talent with competitive employment benefits and fostering a supportive work environment.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop, maintain and optimize Azure Data Factory pipelines for ingestion and ETL
Design scalable data models for analytical and operational needs
Manage large datasets for quality and healthcare regulatory compliance
Troubleshoot and resolve data issues to improve system performance
Support Informatica governance: cataloging, metadata and data lineage
Develop, maintain, and optimize data pipelines using Azure Data Factory for efficient data ingestion and ETL processes.
Design and implement scalable data models that meet both analytical and operational needs.
Manage and organize large datasets to ensure data quality, integrity, and compliance with healthcare regulations.
Troubleshoot and resolve data-related issues to enhance system performance and reliability.
Assist in managing the data governance platform (Informatica), including data cataloging, metadata management, and data lineage.
Education Requirements: - Bachelor’s degree in Computer Science, Information Technology, or a related field, with 4+ years of relevant experience. What We Offer:
From the employer’s posting.
Open 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 156
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,069 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Healthcare Data Regulations: Understanding of healthcare industry standards and regulations such as HIPAA to ensure data security and compliance. - SQL and Programming Skills: Proficiency in SQL and possibly other programming languages like Python or Scala used in data engineering. - Large Dataset Management: Ability to manage and organize large volumes of data efficiently.
Job Overview: We are seeking an experienced and a highly skilled Azure Data Engineer with 4+ years of experience to join our Data Engineering team, playing a critical role in supporting and enhancing our client’s Azure Data Lakehouse environment. This role involves developing, maintaining, and optimizing data pipelines using Azure Data Factory, ensuring efficient data ingestion and ETL processes from various upstream sources. Additionally, the role includes data modeling to design and implement models that fulfill both analytical and operational requirements, aligning with business needs and best practices. The team will work closely with our client’s onshore team to manage and organize large datasets, ensuring data quality, integrity, and security while adhering to healthcare regulations and standards. The team will also support data governance through the use of Informatica, implementing policies, managing data catalogs, and maintaining data lineage and metadata. The team members are expected to be available online until at least 11am EST to facilitate seamless communication with the onshore team. Key Responsibilities:
Key Responsibilities: - Develop, maintain, and optimize data pipelines using Azure Data Factory for efficient data ingestion and ETL processes. - Design and implement scalable data models that meet both analytical and operational needs.
- 4+ Years of Experience: 4+ years of relevant experience in data engineering is a must. - Azure Data Lakehouse Proficiency: Experience with Azure Data Lakehouse architecture for data storage and analytics. - Azure Data Factory Expertise: Skilled in developing, maintaining, and optimizing data pipelines using Azure Data Factory for data ingestion and ETL processes..
- Azure Data Lakehouse Proficiency: Experience with Azure Data Lakehouse architecture for data storage and analytics. - Azure Data Factory Expertise: Skilled in developing, maintaining, and optimizing data pipelines using Azure Data Factory for data ingestion and ETL processes.. - Data Modeling Skills: Ability to design and implement efficient data models that meet analytical and operational requirements..
- Data Security Practices: Knowledge of best practices for securing sensitive data within cloud environments. - Relevant certification (e.g., Microsoft Certified: Azure Data Engineer Associate) is preferred. Education Requirements:
Complete your application on spikewell.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Title: Lead Data Engineer
Spikewell India Pvt. Ltd (a subsidiary of Spikewell LLC, USA) is a rapidly growing Information Technology products and services company. We pioneer in providing innovative, scalable, robust, and secure solutions in the ever-changing technology landscape of Web, Mobile, Cloud, AI/ML, and Blockchain technologies. Spikewell's portfolio includes leading consumer banks, large health care institutions, and rapidly growing AdTech companies. We are constantly pursuing acquiring and retaining the best talent with competitive employment benefits and fostering a supportive work environment.
Job Overview:
We are seeking an experienced and a highly skilled Azure Data Engineer with 4+ years of experience to join our Data Engineering team, playing a critical role in supporting and enhancing our client’s Azure Data Lakehouse environment. This role involves developing, maintaining, and optimizing data pipelines using Azure Data Factory, ensuring efficient data ingestion and ETL processes from various upstream sources. Additionally, the role includes data modeling to design and implement models that fulfill both analytical and operational requirements, aligning with business needs and best practices. The team will work closely with our client’s onshore team to manage and organize large datasets, ensuring data quality, integrity, and security while adhering to healthcare regulations and standards. The team will also support data governance through the use of Informatica, implementing policies, managing data catalogs, and maintaining data lineage and metadata. The team members are expected to be available online until at least 11am EST to facilitate seamless communication with the onshore team.
Key Responsibilities:
Required Skills and Knowledge:
Education Requirements:
What We Offer:
How to Apply:
Please submit your resume and a cover letter detailing your relevant experience to hr@spikewell.com
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bhubaneswar, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.