Snowflake Data Engineer

Snowflake Data Engineer – Early Joiners Preferred
Location:

Hyderabad / Ahmedabad (Hybrid)
Experience:

5+ Years
Openings:

10
Company:

Anblicks Inc.

–

Great Place to Work® Certified |

❄️ Snowflake Elite Partner (3 Years in a Row)
Preferred:

Early Joiners / Immediate Joiners (within 15–30 days)

highly preferred.

About Anblicks
Anblicks

is a

Great Place to Work® Certified Cloud Data Engineering Company

and a

Snowflake Elite Partner for 3 consecutive years , helping enterprises

modernize, migrate, and monetize their data

with next-gen cloud solutions.
We partner with global clients to deliver

Data Analytics, Cloud, and Digital Transformation

solutions that create measurable impact.

Key Responsibilities
Design, develop, and optimize

high-performance ETL/ELT pipelines

using

Snowflake, Python , and cloud-native tools.
Implement and automate data ingestion using

Snowpipe, Streams, and Tasks.
Utilize

SnowSQL

for query development, data loading/unloading, and administrative tasks.
Design and manage

data models, schemas, and warehouses

following Snowflake’s best practices.
Leverage

Time Travel

and

Cloning

features for data recovery, auditing, and testing.
Optimize

query performance

through clustering, micro-partitioning, and result caching.
Manage

user roles, security policies, and data governance

within Snowflake.
Orchestrate workflows using

Airflow, DBT, or Matillion

and integrate with

CI/CD pipelines.
Collaborate with DevOps and analytics teams for data delivery, monitoring, and optimization.

Required Skills & Expertise
5+ years

of experience in

Data Engineering

with strong hands-on expertise in

Snowflake Cloud Data Platform

and

Python.
Proficient in

Snowflake components & features:
SnowSQL ,

Snowpipe ,

Streams ,

Tasks ,

Time Travel ,

Zero-Copy Cloning ,

Query Optimization ,

Virtual Warehouses ,

Resource Monitors ,

Data Sharing , and

Data Marketplace.
Strong

SQL programming

skills and experience in

ETL design, data transformation, and performance tuning.
Experience with

AWS

Preferred or other major cloud platforms.
Hands-on with

Git-based version control

and agile data delivery practices.
Familiarity with

semi-structured data

(JSON, Parquet, Avro) and

data warehousing concepts.
Excellent analytical thinking, communication, and collaboration skills.