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Open nowPosted 885 days ago

Data Engineer - Data Warehouse, BigData, Python and SQL

ECS | Enterprise Change Specialists158 open roles

Where
Hyderabad, India
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Your applicationOpen nowData Engineer - Data Warehouse, BigData, Python and SQLECS | Enterprise Change Specialists · Hyderabad, India

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ECS | Enterprise Change Specialists's own form.

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 885 days ago

The posting

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.

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