Manager -Databricks

1 week ago

Delhi, Delhi, India Tredence Full time
About
Tredence

Tredence
is
a
global
analytics
services
and
solutions
company.
We
are
one
of
the
fastest
growing
private
companies
in
the
country
for
three
straight
years
according
to
the
Inc.
5000
and
we
continue
to
set
ourselves
apart
from
our
competitors
by
attracting
the
greatest
talent
in
the
data
analytics
and
data
science
space.
Our
capabilities
range
from
Data
Visualization,
Data
Management
to
Advanced
analytics,
Big
Data
and
Machine
Learning.
Our
uniqueness
is
in
building
Scalable
Big
Data
Solutions
on
Onprem/GCP/Azure
cloud
in
a
very
cost
effective
and
easily
scalable
manner
for
our
clients.
We
also
come
in
with
some
strong
IP
and
pre-built
analytics
solutions
in
data
mining,
BI
and
Big
Data.

Job
Summary

Designing
and
Developing
Modern
Data
Warehouse
solutions
usingDatabricks

and
AWS/
Azure
Stack
Ability
to
provide
solutions
that
are
forward-thinking
in
data
engineering
and
analytics
space
Collaborate
with
DW/BI
leads
to
understand
new
ETL
pipeline
development
requirements.
Triage
issues
to
find
gaps
in
existing
pipelines
and
fix
the
issues
Work
with
business
to
understand
the
need
in
reporting
layer
and
develop
data
model
to
fulfill
reporting
needs
Help
joiner
team
members
to
resolve
issues
and
technical
challenges.
Drive
technical
discussion
with
client
architect
and
team
members Orchestrate
the
data
pipelines
in
scheduler
via
Airflow

Roles
&
Responsibilities

Must
have
total
10+
yrs.
of
IT
experience
and
4+
years'
experience
in
Data
warehouse/ETL
projects.
Deep
understanding
of
Star
and
Snowflake
dimensional
modelling.
Strong
knowledge
of
Data
Management
principles
Good
understanding
of
Databricks
Data
&
AI
platform
and
Databricks
Delta
Lake
Architecture
Should
have
hands-on
experience
in

SQL,
Python
and
Spark
(PySpark)
Candidate
must
have
experience
in
AWS/
Azure
stack
Desirable
to
have
ETL
with
batch
and
streaming
(Kinesis).
Experience
in
building
ETL
/
data
warehouse
transformation
processes
Experience
with
streaming
data
/
event-based
data
Experience
with
other
Open-Source
big
data
products
Hadoop
(incl.
Hive,
Pig,
Impala)
Experience
with
Open
Source
non-relational
/
No
SQL
data
repositories
(incl.
MongoDB,
Cassandra,
Neo4J)
Experience
working
with
structured
and
unstructured
data
including
imaging
&
geospatial
data. Proficiency
in
RDBMS,
complex

SQL,
PL/
SQL,
Unix
Shell
Scripting,
performance
tuning
and
troubleshoot
Databricks
Certified
Data
Engineer
Associate/Professional
Certification
(Desirable).
Comfortable
working
in
a
dynamic,
fast-paced,
innovative
environment
with
several
ongoing
concurrent
projectsQualification
&
Experience

Must
have
total
6+
yrs.
of
IT
experience
and
3+
years'
experience
in
Data
warehouse/ETL
projects.
Good
understanding
of
Databricks
Data
&
AI
platform
and
Databricks
Delta
Lake
ArchitectureShould
have
hands-on
experience
in

SQL
,

Python

and
Spark
(PySpark)Candidate
must
have
experience
in

AWS/
Azure

stackExperience
in
building
ETL
/
data
warehouse
transformation
processes,
Apache
Kafka
for
use
with
streaming
data
/
event-based
dataProficiency
in
RDBMS,
complex

SQL,
PL/
SQL,
Unix
Shell
Scripting,
performance
tuning
and
troubleshootDatabricks
Certified
Data
Engineer
Associate/Professional
Certification
(Desirable).

Why
Join
Tredence?

There
is
a
reason
we
are
one
of
the
fastest
growing
private
companies
in
the
country
You
will
have
the
opportunity
to
work
with
some
of
the
smartest
and
fun-loving
people
in
the
data
analytics
space.
You
will
work
with
the
latest
technologies
and
interface
directly
with
the
key
decision
stakeholders
at
our
clients,
some
of
the
largest
and
most
innovative
businesses
in
the
world.
Our
people
are
our
greatest
asset
and
we
value
every
one
of
them.
Come
see
why
we're
so
successful
in
one
of
the
most
competitive
and
fastest
growing
industries
in
the
world.

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