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Data Specialist

Bangalore, Karnataka, India

Live, first seen by us 29 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Develop and maintain ETL workflows and data pipelines using SAS and SQL

  • Extract data from Oracle, SQL Server, DB2, flat files, CSV, Excel and APIs

  • Cleanse, transform, validate and reconcile data, and check data quality

  • Monitor daily ETL jobs and troubleshoot failures, data issues and performance problems

  • Analyze production incidents and perform root-cause analysis

From the employer’s posting
Develop and maintain ETL workflows and data pipelines using SAS and SQL.
Extract data from various sources including Oracle, SQL Server, DB2, flat files, CSV, Excel, and APIs.
Perform data cleansing, transformation, validation, aggregation, and reconciliation.
Monitor daily ETL jobs and troubleshoot job failures, data issues, and performance problems.
Analyze production incidents and perform root-cause analysis (RCA).

What you’ll bring

All qualifications

Core experience

  • Hands-on experience with SAS (Base, Macro, SQL, Enterprise Guide) and SQL
  • Ability to write complex SQL queries, joins, views and stored procedures
  • Experience with testing: unit, integration, regression and production validation
Qualification wording
Work with SAS Base, SAS Macro, SAS SQL, and SAS Enterprise Guide.
Develop complex SQL queries, joins, subqueries, views, and stored procedures.
Perform unit testing, integration testing, regression testing, and production validation.
Apply at Brillio-2

Posting record

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Status in our records
Live
First seen by us
Oct 7, 202629 days ago
Recorded sightings
75
Last seen by us
Nov 6, 2026
Employer says posted
Sep 22, 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

Time since we first saw it

Day 29

Similar jobs usually come down between day 6 and day 54.

At Brillio-2, jobs usually come down by about day 25.

From 11,306 similar postings that came down, and 58 of Brillio-2’s. Coming down is not always a hire.

Brillio-2 is hiring

46 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring has slowed
  • Takes jobs down at a usual pace
Hiring record

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.

  • SAS
  • SQL
  • Excel
  • Oracle
  • SQL Server
Where the posting names them
Job requirements Role Summary We are looking for an experienced ETL/SAS Engineer responsible for designing, developing, testing, and maintaining data integration and ETL processes using SAS and SQL. The role involves extracting data from multiple sources, transforming and validating the data, and loading it into data warehouses and downstream applications. Key Responsibilities - Develop and maintain ETL workflows and data pipelines using SAS and SQL.
Role Summary We are looking for an experienced ETL/SAS Engineer responsible for designing, developing, testing, and maintaining data integration and ETL processes using SAS and SQL. The role involves extracting data from multiple sources, transforming and validating the data, and loading it into data warehouses and downstream applications. Key Responsibilities - Develop and maintain ETL workflows and data pipelines using SAS and SQL. - Design, develop, and optimize SAS programs, SAS macros, SAS procedures, and stored processes.
- Develop and maintain ETL workflows and data pipelines using SAS and SQL. - Design, develop, and optimize SAS programs, SAS macros, SAS procedures, and stored processes. - Extract data from various sources including Oracle, SQL Server, DB2, flat files, CSV, Excel, and APIs.
- Develop complex SQL queries, joins, subqueries, views, and stored procedures. - Work with SAS Base, SAS Macro, SAS SQL, and SAS Enterprise Guide. - Build and maintain batch processing and scheduled ETL jobs.
- Implement data quality checks and investigate data discrepancies. - Optimize SAS programs and SQL queries for performance and scalability. - Perform unit testing, integration testing, regression testing, and production validation.
- Design, develop, and optimize SAS programs, SAS macros, SAS procedures, and stored processes. - Extract data from various sources including Oracle, SQL Server, DB2, flat files, CSV, Excel, and APIs. - Perform data cleansing, transformation, validation, aggregation, and reconciliation.
- Perform data cleansing, transformation, validation, aggregation, and reconciliation. - Develop complex SQL queries, joins, subqueries, views, and stored procedures. - Work with SAS Base, SAS Macro, SAS SQL, and SAS Enterprise Guide.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

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

View original posting ↗

Data Specialist

Job requirements

    Role Summary We are looking for an experienced ETL/SAS Engineer responsible for designing, developing, testing, and maintaining data integration and ETL processes using SAS and SQL. The role involves extracting data from multiple sources, transforming and validating the data, and loading it into data warehouses and downstream applications. Key Responsibilities
  • Develop and maintain ETL workflows and data pipelines using SAS and SQL.
  • Design, develop, and optimize SAS programs, SAS macros, SAS procedures, and stored processes.
  • Extract data from various sources including Oracle, SQL Server, DB2, flat files, CSV, Excel, and APIs.
  • Perform data cleansing, transformation, validation, aggregation, and reconciliation.
  • Develop complex SQL queries, joins, subqueries, views, and stored procedures.
  • Work with SAS Base, SAS Macro, SAS SQL, and SAS Enterprise Guide.
  • Build and maintain batch processing and scheduled ETL jobs.
  • Perform data mapping and source-to-target analysis based on business requirements.
  • Implement data quality checks and investigate data discrepancies.
  • Optimize SAS programs and SQL queries for performance and scalability.
  • Perform unit testing, integration testing, regression testing, and production validation.
  • Monitor daily ETL jobs and troubleshoot job failures, data issues, and performance problems.
  • Analyze production incidents and perform root-cause analysis (RCA).
  • Maintain technical documentation, data mapping documents, ETL specifications, and operational procedures.
  • Work closely with Business Analysts, Data Analysts, Developers, QA teams, and business stakeholders.
  • Participate in Agile/Scrum ceremonies, sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives

Employment type

Employee

Source details

View original posting ↗

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Location & working pattern

Bangalore, Karnataka, India

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