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Data engineer

Appzlogic Mobility Solutions Pvt Ltd
Gurugram, Haryana

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Job details

Full-time
4 hours ago

Benefits

Provident Fund
Leave encashment
Health insurance
Cell phone reimbursement
Life insurance

Qualifications

BCS
CI/CD
Data modelling
Azure
Oracle
Computer Science
Cassandra
Relational databases
Big data
DevOps
Spark
NumPy
UNIX
Microsoft SQL Server
NoSQL
Git
MongoDB
Databases
SQL
Database design
Pandas
AWS
Analysis skills
Docker
Bachelor's degree
PostgreSQL
Version control systems
Continuous integration
Scripting
Scrum
Talend
GitHub
ETL
Agile
S3
Linux
Kafka
SSIS
Redshift
Informatica
Communication skills
Data warehouse
Python
Shell Scripting
MySQL
Hadoop
Information Technology

Full job description

Job Title: Data Engineer

Experience: 1–3 Years
Location: Onsite gurgaon
Employment Type: Full-Time

Job Summary

We are seeking a talented and motivated Data Engineer with 1–3 years of experience to join our growing data team. The ideal candidate should have hands-on experience in building, maintaining, and optimizing data pipelines and ETL processes. You will work closely with data analysts, software engineers, and business stakeholders to ensure reliable and scalable data solutions that support analytics and business intelligence initiatives.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines for data ingestion and transformation.
Extract data from multiple sources and load it into data warehouses or data lakes.
Develop and optimize SQL queries for efficient data processing.
Monitor data pipelines and troubleshoot issues related to data quality and performance.
Work with structured and unstructured data from various sources.
Implement data validation and ensure data integrity across systems.
Collaborate with analytics, BI, and engineering teams to understand business requirements.
Create and maintain technical documentation for data workflows and processes.
Support batch and real-time data processing solutions.
Participate in code reviews and follow best practices for data engineering and software development.

Required Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
1–3 years of experience in Data Engineering, ETL Development, or related roles.
Strong proficiency in SQL and database concepts.
Experience with Python and libraries such as Pandas, NumPy, or PySpark.
Hands-on experience with relational databases such as MySQL, PostgreSQL, SQL Server, or Oracle.
Knowledge of ETL tools and frameworks.
Understanding of data modeling concepts and database design.
Familiarity with Linux/Unix environments and shell scripting.
Basic understanding of cloud platforms like AWS, Azure, or GCP.
Knowledge of version control systems such as Git.

Preferred Skills

Experience with Apache Spark, Kafka, Airflow, or Hadoop ecosystem.
Exposure to cloud data services like AWS S3, Redshift, Glue, Azure Data Factory, or BigQuery.
Understanding of Data Warehousing concepts and dimensional modeling.
Familiarity with CI/CD pipelines and DevOps practices.
Knowledge of NoSQL databases such as MongoDB or Cassandra.
Strong analytical and problem-solving skills.
Good communication and teamwork abilities.

Technical Skills

Programming Languages: Python, SQL
Databases: MySQL, PostgreSQL, Oracle, SQL Server
ETL Tools: Airflow, Talend, Informatica, SSIS (preferred)
Big Data Technologies: Spark, Hadoop, Kafka (preferred)
Cloud Platforms: AWS, Azure, GCP
Version Control: Git, GitHub
Operating Systems: Linux/Unix

Nice to Have

Exposure to Data Warehousing and BI concepts.
Knowledge of Docker and containerization.
Understanding of Agile/Scrum methodologies.
Basic experience with real-time streaming technologies.

Benefits:

Cell phone reimbursement
Health insurance
Leave encashment
Life insurance
Provident Fund

Experience:

ETL: 2 years (Preferred)
Python: 2 years (Preferred)
SQL: 2 years (Preferred)

Work Location: In person

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