Data Engineer

Overview

Job Title: Data Engineer (4-7 Years Experience)

Location: [Bhopal or Remote]

Job Type: Full-time Experience: 4-7 Years

About the Role: We are looking for a skilled Data Engineer with 4-7 years of experience to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable and reliable data pipelines, optimizing data workflows, and supporting data-driven decision-making across the organization.

Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines to process large volumes of structured and unstructured data. Build and optimize data warehouses, data lakes, and real-time streaming pipelines. Work closely with Data Scientists, Analysts, and Software Engineers to support data-driven applications and insights. Implement data governance, security, and quality best practices. Optimize database performance, query execution, and indexing strategies. Develop and maintain data models and schema designs to support business intelligence and reporting. Automate data ingestion, transformation, and validation using cloud-based and on-premise tools. Troubleshoot and resolve data-related issues, ensuring high availability and reliability.

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. 4-7 years of experience in Data Engineering, Data Warehousing, or Big Data Processing.

Strong proficiency in SQL and database technologies like PostgreSQL, MySQL, or SQL Server.

Hands-on experience with Big Data technologies such as Apache Spark, Hadoop, Kafka, Flink, or Snowflake.

Expertise in ETL tools (Apache NiFi, Airflow, Talend, Informatica, etc.). Experience with Cloud platforms (AWS, Azure, GCP) and their data services (S3, Redshift, BigQuery, Databricks, etc.).

Proficiency in Python, Scala, or Java for data processing and scripting.

Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code (Terraform, CloudFormation) is a plus.

Strong understanding of data modeling, warehousing principles, and data governance.

Nice to Have: Experience with real-time data processing (Kafka Streams, Apache Flink, etc.). Knowledge of machine learning pipelines and MLOps practices. Familiarity with BI tools like Tableau, Power BI, or Looker.

Job Type: Full-time

Benefits:

• Provident Fund

Schedule:

• Morning shift

Supplemental Pay:

• Performance bonus

Work Location: In person