Urgent Requirement For Data Engineer

We are looking for a skilled Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure to support business intelligence, analytics, and data-driven decision-making. The candidate should have strong expertise in Python, SQL, ETL processes, cloud technologies, and modern data engineering practices.

Location: Indore

Experience: 3-5 Years

Key Responsibilities

Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.

Build, optimize, and maintain data warehouses, data lakes, and relational databases.

Ensure data accuracy, integrity, and consistency through validation and quality assurance processes.

Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.

Optimize database performance and manage large-scale datasets for efficient processing.

Develop and maintain ETL/ELT workflows using industry-standard tools and best practices.

Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).

Utilize big data technologies including Apache Spark, Hadoop, and Kafka where applicable.

Automate, schedule, and monitor workflows using Apache Airflow or similar orchestration tools.

Implement data governance, security, and compliance standards.

Troubleshoot and resolve data pipeline, database, and ETL-related issues.

Stay updated with the latest trends and technologies in data engineering.

Required SkillsProgramming & Database

Strong proficiency in Python (Pandas, NumPy)

Excellent SQL skills

Experience with relational databases such as SQL Server, PostgreSQL, or MySQL

Data Engineering

Strong understanding of ETL/ELT concepts

Hands-on experience with Azure Data Factory (ADF), SSIS, or similar ETL tools

Experience in designing scalable data pipelines

Data Modeling

Entity-Relationship (ER) Diagrams

Dimensional Modeling

Data Normalization

Cloud & Big Data

Experience with AWS, Azure, or GCP

Familiarity with Apache Spark, Hadoop, and Kafka

Knowledge of Apache Airflow for workflow orchestration

Good to Have

Experience with Git and CI/CD pipelines

Knowledge of Docker or Kubernetes

Exposure to Power BI, Tableau, or other BI tools

Understanding of data governance and security best practices

Qualification

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

3-5 years of experience in Data Engineering or a similar role.

How to Apply

Interested candidates can send their updated CV to or contact for more information.

• Experience

  2 Years

• No. of Openings

  10

• Education

  Graduate (B.Tech/B.E)

• Role

  Data Engineer

• Industry Type

  IT-Hardware & Networking

• Gender

  [ Male / Female ]

• Job Country

  India

• Type of Job

  Full Time

• Work Location Type

  Work from Office

• Face Interview Location

  Plot No. 419, Vardhaman House, 1st Floor, floor, 1, near Niranjanpur Circle, Dewas Naka, Scheme No 114, Indore, Madhya Pradesh 452010