Job Description

Position Summary:

We are seeking a skilled

ETL Developer

to design, build, and maintain robust data pipelines for structured and semi-structured data across real-time, near-real-time, and batch workloads. The ideal candidate will be hands-on with modern ETL tools and data platforms, with strong experience in Snowflake, data integration, and data quality management.

Required Skillset & Experience:

7+ years of experience as an ETL Developer or Data Engineer. Proven expertise in

ETL/ELT pipeline design

for structured and semi-structured data. Hands-on experience with

Qlik Replicate

or equivalent real-time replication tools. Strong proficiency with

Snowflake

(data ingestion, SQL, performance tuning). Solid understanding of

data integration

from APIs and external data sources. Experience in

data modeling, normalization

, and relational database design. Knowledge of

data governance

, quality frameworks, and best practices. Proficient in

Python

and

Java

scripting for ETL logic and automation. Familiarity with

CI/CD tools

such as Git, Jenkins, or Azure DevOps. Experience working with

distributed databases

like

YugabyteDB

.

Key Responsibilities:

Design, develop, and maintain efficient

ETL/ELT pipelines

to ingest, transform, and load data from a variety of sources. Implement

real-time and near-real-time replication

using tools like

Qlik Replicate

or similar technologies. Work extensively with

Snowflake

, including data loading, transformation (SQL and scripting), and

performance tuning

. Integrate and manage

multiple data sources

, including flat files, databases, and

third-party APIs

. Develop and optimize

data models

, ensure proper

data normalization

, and maintain high-quality data structures. Ensure

data governance

, data lineage, and security compliance throughout the data lifecycle. Implement and support

CI/CD pipelines

for automated data pipeline deployments and testing. Write efficient

Python

and

Java

scripts for data manipulation, transformation, and automation tasks. Collaborate with DevOps and cloud teams to build scalable, fault-tolerant data workflows. Utilize and manage distributed SQL databases such as

YugabyteDB

. Perform data validation, error handling, and implement logging and monitoring for pipeline health and SLA compliance.

Qualifications

BE

Range of Year Experience-Min Year

5

Range of Year Experience-Max Year

7