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Data Engineer

Data Engineer

UST

0 years

0 Lacs

hyderabad telangana india

Posted:1 day ago| Platform:

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Skills Required

data python scala coding testing etl informatica aws databricks pyspark processing devops design support architecture code test storage nosql engineering pipeline compliance security certifications mapping configuration management planning analysis retention programming apache airflow azure adf gcp dataflow tuning leadership optimization automation

Work Mode

On-site

Job Type

Full Time

Job Description

Job Role:

Job Location:

Notice Period:

Primary Skill:

Role Proficiency

data pipelines

data warehousing solutions

Outcomes

Design and develop efficient pipelines/applications by applying proven solutions and design patterns.
Support Project Managers in execution and track developmental activities.
Interpret requirements, design architecture, and ensure alignment with specifications.
Write clean, optimized code; debug and test for best-in-class quality.
Tune performance and align with infrastructure and cost considerations.
Build scalable
data schemas, models, and storage solutions
(RDBMS, NoSQL, Data Lakes, Delta Lakes).
Validate results with users and ensure seamless integration.
Enhance customer satisfaction and team engagement.

Measures of Outcomes

Adherence to engineering processes, standards, and SLAs.
On-time delivery and reduction in post-production defects.
Faster turnaround for production issues.
Improvement in
pipeline efficiency
(lower resource consumption, faster runtimes).
Compliance with data security and governance.
Completion of certifications and mandatory training.
Improved detection and resolution times for pipeline failures.

Key Responsibilities

Coding & Development

Build, test, and optimize
data processing code
ensuring scalability.
Define coding standards, templates, and checklists.
Perform peer code reviews.

Documentation

Create/review design, architecture, and process documentation.
Develop mapping sheets, test cases, and infra cost estimations.

Configuration & Testing

Define configuration management plans and ensure compliance.
Design/review unit tests, test plans, and support QA teams.

Domain & Business Relevance

Guide engineers on domain-specific data use cases.
Understand customer domain and add business value.
Complete relevant domain certifications.

Project & Delivery

Support project planning and sprint execution.
Manage delivery of assigned modules.
Contribute to design/architecture (HLD, LLD, SAD).

Defect & Release Management

Conduct
root cause analysis (RCA)
and reduce recurring issues.
Execute and monitor release processes.

Customer Interaction

Clarify requirements and provide technical guidance.
Present design options and conduct product demos.
Collaborate with customer architects.

Team Management

Set goals, provide feedback, and enable upskilling.
Mentor team members and identify retention risks.

Skills & Expertise

Technical Skills

Programming:
Python, Scala, PySpark, SQL
ETL Tools: Informatica, Apache Airflow, AWS Glue, Dataproc, Azure ADF, Talend
Cloud Platforms: AWS, Azure, GCP (Glue, BigQuery, Dataflow, ADLS, etc.)
Data Warehousing: Snowflake, BigQuery, Lakehouse, Delta Lake
Data Modeling & Schema Design
Performance tuning and optimization

Soft Skills

Strong analytical and problem-solving ability
Ability to explain technical concepts to business stakeholders
Mentorship and leadership skills

Knowledge Examples

Data security concepts and compliance best practices.
Data warehouse optimization techniques.
ETL services across cloud platforms.
Familiarity with automation practices, frameworks, and reusable components.

Certifications

Relevant
cloud and domain certifications
(AWS, Azure, GCP, Snowflake, Databricks, etc.) are highly desirable.

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