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Data Engineer

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Onsite

Data Engineer

ZecData Technology

Data Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringPythonNumPypandasAWS LambdaKafkaSnowflakeAmazon RedshiftDatabricksAWSNo-code AutomationsApache AirflowHadoopComplianceAzure

2 days ago

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Important information


Contract type:

Permanent

Location:

Madhya Pradesh, India

Work mode:

Onsite

Published on:

21 October 2026

What they need


Job Description: Data Engineer

Experience: 1–3 Years (Freshers with relevant internships and projects may also apply)
Location: Indore, Madhya Pradesh
Work Mode: Onsite (Work From Office)

Roles & Responsibilities

  • Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and integration.
  • Build and maintain data warehouses, data lakes, and database systems.
  • Ensure data quality, accuracy, consistency, and integrity through validation processes.
  • Collaborate with data scientists, analysts, and business teams to understand data requirements.
  • Optimize database queries and manage large-scale datasets for efficient processing.
  • Work with cloud platforms such as AWS, Azure, or GCP to develop reliable data solutions.
  • Implement and maintain ETL/ELT workflows and automate data processing tasks.
  • Monitor data pipelines and troubleshoot data-related issues.
  • Follow data governance, security, and compliance best practices.
  • Stay updated with emerging data engineering tools, technologies, and industry trends.

Technical Skills

1. Core Skills

  • Proficiency in Python, including libraries such as Pandas and NumPy.
  • Strong understanding of SQL and database concepts.
  • Knowledge of data modeling, including ER diagrams, dimensional modeling, and normalization.
  • Understanding of ETL/ELT processes and data integration techniques.
  • Familiarity with Azure Data Factory (ADF) or SSIS.

2. Cloud Technologies

  • AWS: Glue, Redshift, Lambda, EKS, RDS, and Athena.
  • Azure: Azure Databricks, Key Vault, ADLS Gen2, Azure Data Factory, and Azure SQL.
  • Data Warehousing: Snowflake.
  • Knowledge of at least one major cloud platform is preferred.

3. Big Data & Workflow Automation

  • Knowledge of Hadoop, Apache Spark, and Apache Kafka.
  • Familiarity with Apache Airflow or similar workflow orchestration tools.
  • Understanding of data pipeline monitoring, automation, and performance optimization.

Qualifications & Requirements

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Freshers with strong fundamentals, relevant internships, and academic projects are welcome.
  • Candidates with 1–3 years of experience in Python, SQL, data pipelines, and data integration are preferred.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to explain technical concepts to non-technical stakeholders.
  • Ability to work collaboratively in a dynamic environment and manage multiple projects.

Pay: Up to ₹600,000.00 per year

Application Question(s):

  • Will you able to attend the walk in interview in Indore?

  • How much total experience do you have?

  • Graduation Year?

  • Current ctc?

  • Expected ctc?

Work Location: In person

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