Data Engineer - Data Warehouse, BigData, Python and SQL

Telangana, Hyderabad, India

Open 5 months, first seen by us 154 days ago

Pay: Pay not listed
Work setting: Not stated
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 posting

Design, develop and manage data pipelines and data warehouses
Handle high-volume data processing and integrate complex data structures
Optimize data storage solutions and ensure data reliability and quality
Support analytics and business intelligence projects

From the employer’s posting

contribute to designing, developing, and managing data solutions, including pipelines and data warehouses

handle high-volume data processing, integrate complex data structures

optimize data storage solutions

collaborating on analytics and business intelligence projects

What you’ll bring

All qualifications

Core experience

Advanced SQL and PL/SQL with bulk data processing
Experience with Amazon Redshift, Oracle, SQL Server, MySQL and Postgres
Data modeling, including Star/Dimensional modeling
Data warehouse development and ETL processes
Big data tools such as Hadoop, Spark, Hive and AWS EMR, Glue, Lambda

Qualification wording

Expertise in Advanced SQL, PLSQL, and handling bulk data processing

Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres

Experience in data modeling, including Star/Dimensional modeling

Knowledge of Data Warehouse development and ETL processes

Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function

Education & alternatives

Qualifications and Experience - Bachelor's degree in Computer Science, Information Technology, or a related field. - Minimum of [insert years, e.g., 4+ years] experience in database and enterprise data warehouse development.

Apply at ECS | Enterprise Change Specialists

Posting record

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Open 5 monthsWe first saw this posting 154 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: Jun 3, 2026154 days ago
Recorded sightings: 118
Last seen by us: Nov 4, 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 154

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

ECS | Enterprise Change Specialists is hiring

14 open jobs

Its jobs tend to stay up a long time

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.

Scala
SQL
AWS
Hadoop
Hive
Kafka
MySQL
Oracle
Redshift
Spark
SQL Server
PostgreSQL

Where the posting names them

- Experience with structured and semi-structured data ingestion. - Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function. - Strong problem-solving, debugging, and performance-tuning skills.

Must-Have Skillsets (Mandatory) - Expertise in Advanced SQL, PLSQL, and handling bulk data processing. - Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres.

- Expertise in Advanced SQL, PLSQL, and handling bulk data processing. - Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres. - Experience in data modeling, including Star/Dimensional modeling.

Good-to-Have Skillsets (Optional) - Hands-on experience with Hadoop/Big Data environments. - Experience with streaming data platforms like Kafka or Flume.

- Hands-on experience with Hadoop/Big Data environments. - Experience with streaming data platforms like Kafka or Flume. - Knowledge of data analytics and business intelligence solutions.

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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

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Job Summary

We are seeking a skilled Data Engineer to join our team and contribute to designing, developing, and managing data solutions, including pipelines and data warehouses. The ideal candidate will handle high-volume data processing, integrate complex data structures, and optimize data storage solutions. You will ensure data reliability, quality, and compliance while collaborating on analytics and business intelligence projects in a diverse technological environment.

Must-Have Skillsets (Mandatory)

- Expertise in Advanced SQL, PLSQL, and handling bulk data processing.

- Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres.

- Experience in data modeling, including Star/Dimensional modeling.

- Knowledge of Data Warehouse development and ETL processes.

- Experience with structured and semi-structured data ingestion.

- Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function.

- Strong problem-solving, debugging, and performance-tuning skills.

- Ability to design and optimize data storage and manage data governance principles.

Good-to-Have Skillsets (Optional)

- Hands-on experience with Hadoop/Big Data environments.

- Experience with streaming data platforms like Kafka or Flume.

- Knowledge of data analytics and business intelligence solutions.

- Proficiency in tools for data integration and orchestration like Sqoop.

Qualifications and Experience

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Minimum of [insert years, e.g., 4+ years] experience in database and enterprise data warehouse development.

- Proven track record of developing and managing complex data pipelines and integrating diverse data sources.

- Strong analytical and numerical skills with attention to detail.

This role is ideal for a dynamic professional eager to innovate in a data-driven environment and contribute to transformative projects.

Source details

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