Time since we first saw it
Day 123
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 12,127 similar postings that came down. Coming down is not always a hire.
Senior Associate Data Engineer
Hyderabad, Telangana, India
Open 4 months, first seen by us 123 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build and optimize data pipelines, ETL/ELT processes and data warehouses
Define data models and schemas for analysis, reporting and visualization
Cleanse, transform and aggregate data, and fix inconsistencies and anomalies
Build analytics solutions with departments based on their requirements
Document data processes, flows and structures, and explain findings to non-technical teams
From the employer’s posting
Design, build, and optimize data pipelines, ETL/ELT processes, and data warehouses
Define data models and schemas to enable efficient data analysis, reporting, and visualization.
Cleanse, transform, and aggregate data to derive meaningful insights.
Collaborate with different company departments to understand their requirements and develop analytics solutions that meet their needs.
Document data processes, data flows, and data structures.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 123 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 9, 2026123 days ago
- Recorded sightings
- 56
- Last seen by us
- Nov 9, 2026
- Employer says posted
- Jul 7, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Fortunize is hiring
6 open jobs
- No new data jobs since July
- Its jobs tend to stay up a long time
See how this role fits your experience
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.
- SQL
- AWS
- dbt
- Snowflake
- Airflow
- Dagster
Where the posting names them
As an Data Engineer, you will be responsible for designing, developing, and maintaining data infrastructure and analytics solutions to support data-driven decision-making and reporting. You will collaborate with other internal teams such as Business Intelligence, Data Operations, IT, and other stakeholders to understand business requirements and translate them into technical solutions. Your role will potentially involve working with large and complex data sets, implementing data pipelines, and ensuring data accuracy, integrity, and availability. Responsibilities: Develop and maintain data infrastructure: Design, build, and optimize data pipelines, ETL/ELT processes, and data warehouses to support efficient data collection, storage, and retrieval. Data modeling and schema design: Define data models and schemas to enable efficient data analysis, reporting, and visualization. Ensure adherence to data governance and data quality standards. Data transformation and manipulation: Cleanse, transform, and aggregate data to derive meaningful insights. Identify data inconsistencies, outliers, and anomalies and implement appropriate solutions. Implement data analytics solutions: Collaborate with different company departments to understand their requirements and develop analytics solutions that meet their needs. Documentation and communication: Document data processes, data flows, and data structures. Clearly communicate technical concepts and findings to non-technical stakeholders such as Credit/Structuring, Operations, Legal, etc. Requirements Qualifications: Bachelor's degree in Computer Science, Information Systems, Data Science/Analytics, or a related field. 4+ years of experience as an Data Engineer, Analytical Engineer, Data Analyst, Business Intelligence Engineer, or similar role Experience working with finance-related data sets (ex: FinTech, Lending, Financial Services, or related industries) Advanced SQL skills and experience working with complex data sets. Understanding of the following is advantageous: o Data Modeling o Data Governance o ETL/ELT practices o Data transformations with dbt o Data warehousing with Snowflake o Cloud computing with AWS o Data orchestration tools (e.g. Airflow, Dagster) o API Usage and Integration Strong analytical and problem-solving skills, with the ability to transform complex data into actionable insights. Excellent communication and collaboration skills, with the ability to interact effectively with both technical and non-technical stakeholders. Strong attention to detail and a commitment to delivering high-quality work within deadlines. Willingness to stay updated with emerging technologies, tools, and best practices in data engineering and analytics. Ability to adapt to evolving business needs and work in a fast-paced environment.
Your next step
Complete your application on fortunize.zohorecruit.in. The employer’s form will show what is required.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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 description
As an Data Engineer, you will be responsible for designing, developing, and maintaining data infrastructure and analytics solutions to support data-driven decision-making and reporting. You will collaborate with other internal teams such as Business Intelligence, Data Operations, IT, and other stakeholders to understand business requirements and translate them into technical solutions. Your role will potentially involve working with large and complex data sets, implementing data pipelines, and ensuring data accuracy, integrity, and availability. Responsibilities: Develop and maintain data infrastructure: Design, build, and optimize data pipelines, ETL/ELT processes, and data warehouses to support efficient data collection, storage, and retrieval. Data modeling and schema design: Define data models and schemas to enable efficient data analysis, reporting, and visualization. Ensure adherence to data governance and data quality standards. Data transformation and manipulation: Cleanse, transform, and aggregate data to derive meaningful insights. Identify data inconsistencies, outliers, and anomalies and implement appropriate solutions. Implement data analytics solutions: Collaborate with different company departments to understand their requirements and develop analytics solutions that meet their needs. Documentation and communication: Document data processes, data flows, and data structures. Clearly communicate technical concepts and findings to non-technical stakeholders such as Credit/Structuring, Operations, Legal, etc. Requirements Qualifications: Bachelor's degree in Computer Science, Information Systems, Data Science/Analytics, or a related field. 4+ years of experience as an Data Engineer, Analytical Engineer, Data Analyst, Business Intelligence Engineer, or similar role Experience working with finance-related data sets (ex: FinTech, Lending, Financial Services, or related industries) Advanced SQL skills and experience working with complex data sets. Understanding of the following is advantageous: o Data Modeling o Data Governance o ETL/ELT practices o Data transformations with dbt o Data warehousing with Snowflake o Cloud computing with AWS o Data orchestration tools (e.g. Airflow, Dagster) o API Usage and Integration Strong analytical and problem-solving skills, with the ability to transform complex data into actionable insights. Excellent communication and collaboration skills, with the ability to interact effectively with both technical and non-technical stakeholders. Strong attention to detail and a commitment to delivering high-quality work within deadlines. Willingness to stay updated with emerging technologies, tools, and best practices in data engineering and analytics. Ability to adapt to evolving business needs and work in a fast-paced environment.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Hyderabad, Telangana, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.