Remote Senior data analytics engineer Jobs – 103 Open Jobs Today

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7d

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PySPark /Spark & Dataproc Senior Engineer

HoonarTek
Remote

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Job details

Full-time
13 days ago

Qualifications

CI/CD
Performance tuning
Business intelligence
Kubernetes
D3.js
Spark
Research
Ab Initio
SQL
Continuous integration
Scripting
Agile
Python
Debugging

Full job description

Hybrid, Bangalore, Pune

About Us

We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.

Hoonartek is a leader in enterprise transformation, data engineering and an acknowledged world-class Ab Initio delivery partner.

Using centuries of cumulative experience, research and leadership, we help our clients eliminate the complexities & risk of legacy modernization and safely deliver big data hubs, operational data integration, business intelligence, risk & compliance solutions and traditional data warehouses & marts.

At Hoonartek, we work to ensure that our customers, partners and employees all benefit from our unstinting commitment to delivery, quality and value. Hoonartek is increasingly the choice for customers seeking a trusted partner of vision, value and integrity

How We Work?

Define, Design and Deliver (D3) is our in-house delivery philosophy. It’s culled from agile and rapid methodologies and focused on ‘just enough design’. We embrace this philosophy in everything we do, leading to numerous client success stories and indeed to our own success.

We embrace change, empowering and trusting our people and building long and valuable relationships with our employees, our customers and our partners. We work flexibly, even adopting traditional/waterfall methods where circumstances demand it. At Hoonartek, the focus is always on delivery and value.

Job Description

Roles & Responsibilities

Design, develop, and maintain PySpark-based data processing pipelines
Perform migration and reconfiguration of Spark workloads across different execution environments (e.g., containers to managed platforms like Dataproc)
Execute and validate automated code conversion or migration utilities
Analyze and resolve code compatibility and runtime issues during platform transitions
Perform performance tuning and optimization of Spark jobs for:

Execution efficiency

Resource utilization

Cost effectiveness

Support benchmarking and performance analysis across environments
Troubleshoot failures and ensure stable and reliable job execution
Adhere to best practices for:

Distributed processing

Code modularity and maintainability

Collaborate with cross-functional teams for integration and deployment
Maintain documentation for code changes, configurations, and known issues

Primary Skillsets

Strong expertise in PySpark / Apache Spark
Experience with distributed data processing frameworks
Hands-on with Spark performance tuning and optimization techniques
Proficiency in:

Spark SQL

DataFrames / RDD operations

Understanding of Spark internals:

Execution plans, partitioning, shuffle operations

Experience with GCP services (Dataproc, GCS, BigQuery)
Exposure to containerized environments (Kubernetes / GKE)
Familiarity with automation scripting (Python, Shell)

Secondary Skillsets

Knowledge of cloud cost optimization principles
Experience with logging, monitoring, and debugging tools
Basic understanding of CI/CD pipelines

Job Requirement

Roles & Responsibilities

Design, develop, and maintain PySpark-based data processing pipelines
Perform migration and reconfiguration of Spark workloads across different execution environments (e.g., containers to managed platforms like Dataproc)
Execute and validate automated code conversion or migration utilities
Analyze and resolve code compatibility and runtime issues during platform transitions
Perform performance tuning and optimization of Spark jobs for:

Execution efficiency

Resource utilization

Cost effectiveness

Support benchmarking and performance analysis across environments
Troubleshoot failures and ensure stable and reliable job execution
Adhere to best practices for:

Distributed processing

Code modularity and maintainability

Collaborate with cross-functional teams for integration and deployment
Maintain documentation for code changes, configurations, and known issues

Primary Skillsets

Strong expertise in PySpark / Apache Spark
Experience with distributed data processing frameworks
Hands-on with Spark performance tuning and optimization techniques
Proficiency in:

Spark SQL

DataFrames / RDD operations

Understanding of Spark internals:

Execution plans, partitioning, shuffle operations

Experience with GCP services (Dataproc, GCS, BigQuery)
Exposure to containerized environments (Kubernetes / GKE)
Familiarity with automation scripting (Python, Shell)

Secondary Skillsets

Knowledge of cloud cost optimization principles
Experience with logging, monitoring, and debugging tools
Basic understanding of CI/CD pipelines

Apply Now

Refine Your Search

senior data analytics engineer jobs in remote

PySPark /Spark & Dataproc Senior Engineer

Senior Full Stack Engineer (Enterprise AI Project) (India)

Senior Consulting Engineer - India

Senior Product Manager – Product Solutions

AWS DEVOPS ENGINEER

Senior Cloud Engineers

Databricks Architect/Engineer

GTM Engineer / RevOps Architect

Salesforce Technical Lead

Salesforce Data Cloud Architect

Principal Software Engineer - Postgres

Sr. UX Designer QuintAce (Remote)

Technical Lead / Engineering Manager, Full Stack - Gen AI (India)

Principal Platform Engineer

Senior Vmware Technical Trainer

Sr. Backend Engineer

Sr Developer, HR AI Technology

Full Stack Builder

Presales Solutions Architect - ServiceNow

Software Engineer, Go

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