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Lead Data Engineer - ETL/PySpark (7-12 yrs)

7-12 years

Indore

Lead Data Engineer - ETL/PySpark (7-12 yrs)

MoreYeahs

posted 1mon ago

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Job Description

Job Title : Lead Data Engineer

Location : Indore Madhya Pradesh

Employment Type : Full-time

Experience : 7to12 years

Hybrid Model

Job Overview :

We are seeking a talented and enthusiastic Data Engineers with 7+ years of experience to join our data engineering team. The ideal candidate will have a strong background in ETL processes, data warehousing, and big data technologies, and will play a key role in building and maintaining our data infrastructure to support analytics and business intelligence needs.

Key Responsibilities :

ETL Development :

- Design, develop, and maintain efficient ETL pipelines to process and transform large volumes of data from various sources.

- Implement data transformation and cleansing processes to ensure high-quality data.

Data Warehouse Development :

- Assist in building and optimizing scalable data warehouse solutions using Snowflake, Data bricks, Redshift, or similar technologies.

- Ensure that data models are efficient, scalable, and support the needs of analytics teams.

Big Data & Cloud Technologies :

- Utilize AWS Glue and PySpark to process and transform large datasets in the cloud.

- Implement data pipelines using Apache Airflow for scheduling and orchestration.

Database Management :

- Manage and optimize relational databases (RDBMS) to support both transactional and analytical workloads.

- Write efficient SQL queries to support data extraction, reporting, and analytics.

Collaboration :

- Work closely with your lead and other stakeholders to understand data requirements and deliver reliable data solutions.

- Contribute to the design and architecture of data systems, ensuring alignment with business needs and technical best practices.

Data Quality & Governance :

- Ensure data integrity, accuracy, and availability through rigorous testing, validation, and monitoring of ETL processes.

- Support data governance initiatives by implementing best practices for data management and security.

Experience :

- 6 to7 years of experience in data engineering, with a strong focus on ETL processes and data warehousing.

- Hands-on experience with ETL tools and frameworks, as well as Python and PySpark for data processing.

- Experience with cloud-based data platforms such as AWS Glue, Snowflake, Databricks, or Redshift.

- Proficiency in SQL and experience with RDBMS platforms (e.g., MySQL, PostgreSQL, Oracle).

- Familiarity with data orchestration tools like Apache Airflow.

Technical Skills :

- Strong understanding of data warehousing concepts and best practices.

- Experience in building and optimizing data pipelines and workflows.

- Knowledge of cloud infrastructure (AWS, Azure, GCP) and data processing technologies.

Soft Skills :

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork abilities.

- Ability to work in a fast-paced environment and manage multiple tasks simultaneously.


Functional Areas: Software/Testing/Networking

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MoreYeahs Indore Office Location

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Indore Office
Scheme No 171, 465, Sai Kripa Colony, Indore, Madhya Pradesh 452010, India Indore
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