Data Engineer

ti Steps

0 - 4 years

2 - 6 Lacs

hyderabad chennai bengaluru

Posted:1 week ago| Platform:

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Skills Required

airflow amazon redshift bigquery snowflake data bricks spark etl aws glue python sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

About the Role:

Data Engineer

Key Responsibilities:

Design, build, and maintain
robust, scalable, and efficient data pipelines
for processing structured and unstructured data.
Develop and implement
ETL/ELT processes
to collect, clean, transform, and load data from multiple sources.
Work with data analysts and data scientists to understand data requirements and deliver optimized solutions.
Manage and optimize
data warehouses, data lakes, and cloud-based storage solutions
.
Ensure data accuracy, consistency, and availability across multiple environments.
Implement
data quality, governance, and security standards
.

Required Skills & Qualifications:

Bachelors or Master’s degree
in Computer Science, Information Technology, Data Engineering, or a related field.
3–8+ years
of experience as a Data Engineer or in a similar data-focused role.
Strong proficiency in
programming languages
such as
Python, Java, or Scala.
Hands-on experience with
ETL tools
(e.g., Apache Airflow, Talend, Informatica, AWS Glue, dbt).
Deep understanding of
SQL
and experience with
relational (RDBMS)
and
NoSQL databases
(PostgreSQL, MySQL, MongoDB, Cassandra).
Experience with
Big Data technologies
such as
Apache Spark, Hadoop, Kafka, Hive, or Flink.
Expertise in
cloud platforms
such as
AWS (Redshift, Glue, S3), Azure (Data Factory, Synapse), or Google Cloud (BigQuery, Dataflow).

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