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Home
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Altimetrik
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Data Engineer

Data Engineer

Altimetrik

9 - 14 years

25 - 37 Lacs

Pune Chennai Bengaluru

Posted:13 hours ago| Platform:

Apply

Skills Required

Azure Data Factory Data engineer Snowflake Python SQL Pyspark Spark Data Bricks

Work Mode

Hybrid

Job Type

Full Time

Job Description

Role & responsibilities

Job Overview:

Key Responsibilities:

Collaborate
with business and IT stakeholders to define
business and functional requirements
for data solutions.
Design and implement
scalable
ETL/ELT pipelines
using
Azure Data Factory, Databricks, and Snowflake
.
Develop detailed
technical designs, data flow diagrams, and future-state data architecture
.
Evangelize modern data modelling practices
, including
entity-relationship models, star schema, and Kimball methodology
.
Ensure
data governance, quality, and validation
by working closely with
quality engineering teams
.
Write, optimize, and troubleshoot complex SQL queries
, including
DDL, DML, and performance tuning
.
Work with
Azure Synapse, Azure Data Lake, and Snowflake
for
large-scale data processing
.
Implement
DevOps and CI/CD best practices
for automated data pipeline deployments.
Support
real-time streaming data processing
with
Spark, Kafka, or similar technologies
.
Provide
technical mentorship
and guide team members on
best practices in SQL, ETL, and cloud data solutions
.
Stay up to date with
emerging cloud and data engineering technologies
and demonstrate a
continuous learning mindset
.

Required Skills & Qualifications:

Primary Requirements:

SQL Expertise
Strong hands-on experience with
DDL, DML, query optimization, and performance tuning
.
Programming Languages
– Proficiency in
Python or Java
for data processing and automation.
Data Modelling
– Good understanding of
entity-relationship modelling, star schema, and Kimball methodology
.
Cloud Data Engineering
– Hands-on experience with
Azure Synapse, Azure Data Factory, Azure Data Lake, Databricks and Snowflake
ETL Development
– Experience building
scalable ETL/ELT pipelines
and data ingestion workflows.
Ability to learn and apply Snowflake concepts as needed.
Communication Skills
: Strong presentation and communication skills to engage both technical and business stakeholders in strategic discussions.
Financial Services Domain (Optional)
: Knowledge of financial services.

Good to Have Skills:

DevOps & CI/CD

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