Big Data Engineer

Maimsd Technology Private Limited; India; Remote; INR 11,527,000 - 17,291,000; Part time

Job summary

Maimsd Technology Private Limited is seeking a Big Data Engineer to join on a contract basis. You will work on large-scale data pipelines, distributed systems, and data infrastructure to support AI and data-driven applications.

The ideal candidate has 3–6 years of experience, strong Python/SQL skills, and hands-on work with ETL, data modeling, and NoSQL databases. This remote role follows US shift timings and involves collaboration with cross-functional teams.

Qualifications

• 4+ years of hands-on Big Data / Data Engineering experience.
• Proficient in Python for data processing, automation, and integration.
• Strong SQL knowledge and relational databases.
• Experience with NoSQL databases (MongoDB, Cassandra, DynamoDB).
• Experience with distributed data processing frameworks such as Spark/PySpark, Hadoop, or Flink.
• Strong understanding of ETL/ELT, data pipelines, data modeling, and data warehousing.
• Experience designing and maintaining large-scale data processing pipelines.
• Knowledge of data quality, security, governance, and monitoring.
• Excellent communication and ability to work independently in a remote environment.

Responsibilities

• Design, develop, and maintain scalable big data pipelines and data architectures.
• Build data ingestion, integration, transformation, and processing workflows using Python.
• Develop and optimize distributed data processing with Spark, PySpark, Hadoop, or Flink.
• Design, manage, and optimize relational and NoSQL databases for scalability and performance.
• Develop and maintain ETL/ELT pipelines, data models, and data warehousing solutions.
• Translate business needs into scalable technical data solutions with cross-functional teams.
• Monitor, troubleshoot, and optimize pipelines for high availability and performance.
• Implement data quality, security, governance, validation, and monitoring practices.
• Identify bottlenecks and optimize data processing efficiency.
• Create technical documentation and communicate complex concepts to stakeholders.
• Work independently in a remote and collaborative environment.

Skills

Python

SQL

NoSQL databases

Data pipelines

ETL/ELT

Data warehousing

Distributed systems

Apache Spark

Hadoop

Apache Flink

MLOps exposure

Tools

MongoDB

Cassandra

DynamoDB

AWS

Azure

GCP

Job description

Big Data Engineer – Contractor

Job Type: Contract

Work Mode: Remote(US Shift Timings)

Experience: 3-6 years

Industry: Technology / AI / Data Engineering

Job Summary

We are looking for an experienced Big Data Engineer to join our team on a contract basis and contribute to building scalable, reliable, and high-performance data solutions.

In this role, you will work on large-scale data pipelines and distributed data systems that support next-generation AI and data-driven applications. You will collaborate with technical and cross-functional teams to design, develop, optimize, and maintain robust data infrastructure and processing workflows.

The ideal candidate has strong hands‑on experience with Python, SQL, data pipelines, ETL, distributed data processing frameworks, and relational/NoSQL databases, along with a strong understanding of data engineering best practices.

Key Responsibilities

• Design, develop, and maintain scalable big data pipelines and data architectures.
• Build efficient data ingestion, integration, transformation, and processing workflows using Python and modern data engineering technologies.
• Develop and optimize distributed data processing solutions using technologies such as Apache Spark, PySpark, Hadoop, or Apache Flink.
• Design, manage, and optimize relational and NoSQL databases for scalability, reliability, and performance.
• Develop and maintain ETL/ELT pipelines, data models, and data warehousing solutions.
• Work with cross-functional teams to understand data requirements and translate business needs into scalable technical solutions.
• Monitor, troubleshoot, and optimize data pipelines and distributed systems to ensure high availability and performance.
• Implement data quality, security, governance, validation, and monitoring practices.
• Identify performance bottlenecks and continuously improve data processing efficiency.
• Develop technical documentation and communicate complex technical concepts clearly to technical and non‑technical stakeholders.
• Work independently in a remote and collaborative environment, taking ownership of assigned projects and deliverables.

Required Skills & Qualifications

• 4+ years of hands‑on experience in Big Data Engineering / Data Engineering.
• Strong proficiency in Python for data processing, automation, and integration.
• Strong knowledge of SQL and relational databases.
• Hands‑on experience with NoSQL databases such as MongoDB, Cassandra, DynamoDB, or similar technologies.
• Experience with distributed data processing frameworks such as Apache Spark/PySpark, Hadoop, or Flink.
• Strong understanding of ETL/ELT, data pipelines, data modeling, and data warehousing concepts.
• Experience designing and maintaining large‑scale data processing pipelines.
• Understanding of data quality, security, governance, and system monitoring.
• Strong analytical and troubleshooting skills.
• Excellent written and verbal communication skills.
• Ability to work independently, proactively, and effectively in a remote environment.

Preferred Qualifications

• Experience with cloud‑based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Experience working with fast‑paced, startup, or globally distributed teams.
• Familiarity with MLOps, machine learning pipelines, or data science workflows.
• Experience working with cloud‑based big data technologies and distributed storage systems.
• Exposure to AI/ML data pipelines or large‑scale datasets is a plus.

Key Skills

Big Data | Data Engineering | Python | SQL | Apache Spark | PySpark | Hadoop | Apache Flink | ETL | ELT | Data Pipelines | Data Warehousing | Data Modeling | NoSQL | MongoDB | Cassandra | AWS | Azure | GCP | Distributed Systems | MLOps

What You’ll Work On

You will have the opportunity to work on challenging large‑scale data engineering problems and contribute to data infrastructure supporting next‑generation AI systems. The role offers an opportunity to work with modern data technologies while collaborating with distributed teams in a remote environment.