Data Engineer

Data Engineer, DC

We are looking for a talented

Data Engineer

to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in data modeling, ETL processes, cloud platforms, and big data technologies to support analytics, reporting, and business intelligence. Responsibilities

Design, develop, and manage

ETL/ELT pipelines

to collect, transform, and store large datasets. Build and optimize

data warehouses, data lakes, and real-time streaming pipelines . Collaborate with data scientists, analysts, and business teams to deliver reliable data solutions. Ensure data quality, consistency, and security across systems. Work with

structured and unstructured data

from multiple sources. Optimize query performance and system scalability. Implement

data governance, compliance, and best practices

for data management. Monitor and troubleshoot data workflows to ensure high availability. Required Skills

Strong experience with

SQL

and relational databases. Hands-on expertise in

Python, Scala, or Java

for data engineering tasks. Proficiency with

big data tools

(Hadoop, Spark, Hive, Kafka). Knowledge of

cloud platforms

(AWS, Azure, or GCP) and their data services (e.g., Redshift, BigQuery, Synapse). Experience with

data modeling, warehousing (Snowflake, Redshift, Databricks, etc.) . Familiarity with

ETL tools

(Informatica, Talend, Apache Airflow, DBT, etc.). Strong understanding of

data structures, algorithms, and distributed systems .

#J-18808-Ljbffr