Data Engineer+Java

SRS Consulting Inc

Pune City

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Job summary

A consulting firm is hiring a Data Engineer with Java experience for their Pune location. The candidate should have over 4 years in data engineering and proficiency in mandatory skills like Airflow, DBT, and SQL. This full-time position involves designing robust data pipelines and collaborating with cross-functional teams. Immediate joiners preferred.

Qualifications

4+ years of hands-on experience in data engineering roles.
Strong experience with DBT for modular, testable, and version-controlled data transformation.
Proficient in Java for building custom data connectors.
Deep understanding of Apache Airflow and ability to manage complex DAGs.
Solid SQL skills and familiarity with data warehouse platforms.
Familiarity with version control tools, CI/CD pipelines, and Agile methodologies.
Exposure to cloud environments like AWS, GCP, or Azure.

Responsibilities

Design, implement, and optimize ETL/ELT pipelines using DBT.
Develop backend components and data processing logic using Java.
Build and maintain DAGs in Apache Airflow for orchestration.
Ensure reliability and efficiency of data pipelines.
Work with teams to understand data needs.
Troubleshoot data pipeline issues in production.
Apply data quality and governance best practices.
Collaborate on CI/CD deployment pipelines.

Skills

Airflow

Data Build Tool (DBT)

Java

CI/CD

SQL

Job description

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Direct message the job poster from SRS Consulting Inc

We are hiring for "Data Engineer with Java" for Pune Location.

Exp:5+Years

Loc: Pune

Notice Period: Immediate joiners(notice period served or serving candidate)

Mandatory Skills:

Airflow
Data Build Tool(DBT)
Java
CI/CD
SQL

NOTE: We are looking for Immediate joiners(notice period served or serving candidate)

Apply only If you are Immediate joiners(notice period served or serving candidate)

Apply only if you are having 5+Years of relevant experience into the above mentioned mandatory skills.

Job Description:

Key Responsibilities:

Design, implement, and optimize ETL/ELT pipelines using DBT for data modeling and transformation.
Develop backend components and data processing logic using Java.
Build and maintain DAGs in Apache Airflow for orchestration and automation of data workflows.
Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage.
Work with cross-functional teams to understand data needs and deliver high-quality solutions.
Troubleshoot and resolve data pipeline issues in production environments.
Apply data quality and governance best practices, including validation, logging, and monitoring.
Collaborate on CI/CD deployment pipelines for data infrastructure.

Required Skills & Qualifications:

4+ years of hands-on experience in data engineering roles.
Strong experience with DBT for modular, testable, and version-controlled data transformation.
Proficient in Java, especially for building custom data connectors or processing frameworks.
Deep understanding of Apache Airflow and ability to design and manage complex DAGs.
Solid SQL skills and familiarity with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery).
Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies.
Exposure to cloud environments like AWS, GCP, or Azure

Seniority level