Senior Data Engineer

3 weeks ago


Hyderabad, Telangana, India MaximaTek Full time
Send applications to

hrhyd@maximatek.com

(or) reach me at

9849143383 .

Position:

Senior Data Engineer
Type:

Part-Time, Remote
Experience:

Minimum 6years
Job Summary:
We are seeking a skilled and experienced

Senior Data Engineer

to mentor and guide our bench candidates in securing successful placements with our clients. The ideal candidate will have a strong development background, excellent communication skills, and the ability to prepare candidates to excel in technical interviews and projects. This role is a part-time, remote opportunity perfect for professionals looking to share their expertise while working flexibly.

Responsibilities:
Design and build scalable data pipelines

using

Apache Spark, Kafka, Airflow, and cloud-based data services

(AWS, Azure, GCP).
Develop and optimize data lakes, warehouses, and real-time streaming solutions

using tools like

Snowflake, Databricks, BigQuery, and Redshift .
Implement ETL/ELT processes

to ingest, process, and transform structured & unstructured data from multiple sources.
Optimize SQL queries, distributed computing frameworks, and data storage systems

for performance and cost efficiency.
Ensure data governance, lineage, and security compliance

(GDPR, CCPA, HIPAA).
Leverage Infrastructure as Code (Terraform, CloudFormation)

and CI/CD pipelines to automate deployments.
Monitor, troubleshoot, and enhance data pipelines , implementing observability with

Prometheus, Splunk, or Datadog .
Collaborate with Data Scientists, Analysts, and Business teams

to support machine learning, reporting, and AI-driven insights.
Mentor junior engineers, review code, and establish best practices for data engineering.
Required Skills & Experience:
6 years

of experience in

Data Engineering, Big Data, and Cloud Technologies .
Expertise in

Python, SQL, Scala, or Java

for data processing.
Strong knowledge of Apache Spark, Hadoop (HDFS, YARN), Kafka, and Airflow .
Hands-on experience with

AWS (Glue, Redshift, EMR), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow) .
Expertise in

ETL frameworks, data warehousing, and batch/streaming data processing .
Database management experience

with

PostgreSQL, MySQL, MongoDB, or Cassandra .
Experience in

containerization & orchestration (Docker, Kubernetes)

and

DevOps practices (CI/CD, GitHub Actions, Jenkins) .
Strong understanding of

data governance, security, and compliance

frameworks.
Experience with

MLOps (MLflow, Feature Engineering)

is a plus.
Excellent problem-solving skills and ability to work in a fast-paced environment.

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