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Senior Data Engineer

3 months ago

Delhi, Delhi, India Koantek Full time

About the Company:
Koantek is a consulting firm that provides customized solutions to tackle the most challenging business
problems through data and machine learning. With decades of combined experience, Koantek uses
extensive industry-specific research and deep technical knowledge to guide companies on how to
modernize their business, make better decisions, and embrace technology that challenges the status
quo. We operate in the BI/AI tech space with emphasis on Data engineering, analytics, architecture, and
security. Our projected growth for the year in terms of people numbers is 300 for 2023. Most of the
expansion will happen in India and we are looking to engage top talent here.

Job Description:
The Senior Data Engineer with Databricks experience at Koantek will use comprehensive modern data
engineer techniques and methods with Advanced Analytics to support business decisions for our clients.
You will help design and build data pipelines, data streams, reporting tools, information dashboards, data
service APIs, data generators, and other end-user information portals and insight tools. You will be a
critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for
routine and ad hoc analysis to drive business outcomes using Advanced Analytics

Role:
Senior Data Engineer (cloud platform: AWS / GCP)

Job Requirements:

  • Strong experience as a data engineer (Databricks preferred)
  • Expert proficiency in Spark Scala,Advanced SQL & Python (mandate), and PySpark is a plus
Must have data migration experience from on prem to cloud

  • Hands-on experience in Kinesis to process & analyze Streaming data, and cloud DynamoDB
In depth understanding of cloud, data lake, and analytics solutions.

  • Expert level hands-on development in designing and developing applications on Databricks,
Databricks Workflows, cloud Managed Airflow, and Apache Airflow is required.

  • Extensive hands-on experience implementing data migration and data processing using Cloud

services:
VPC/SG, EC2, S3, AutoScaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka,
Nifi, CDC processing, Amazon S3, EMR, Redshift, Athena, Snowflake, RDS, Aurora, Neptune,
DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, SageMaker, AI/ML, API GW,
etc.

  • Hands-on experience with the Technology stack available in the industry for data management,
data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map
Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.

  • Knowledge of different programming and scripting languages
  • Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]
  • Hands-on
experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

  • Experience preparing data for use in SageMaker and Databricks.
  • Demonstrated experience preparing data, automating and building data pipelines for AI Use
Cases (text, voice, image, IoT data etc....).

  • Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark
Scala, Spark SQL/PySpark

  • Knowledge of any cloud DevOps processes like CI/CD as well as Agile tools and processes
including Git, Jenkins, Jira, and Confluence

  • Strong understanding of Data Modeling and defining conceptual logical and physical data
models.

Responsibilities:

  • Work closely with team members to lead and drive enterprise solutions, advising on key decision
points on trade-offs, best practices, and risk mitigation

  • Manage data related requests, analyze issues, and provide efficient resolution. Design all
program specifications and perform required tests

  • Design and Develop data Ingestion using Glue, Any cloud Managed Airflow, Apache Airflow and
processing layer using Databricks.

  • Work with the SMEs to implement data strategies and build data flows and prepare codes for all
modules according to required specification.

  • Monitor all production issues and inquiries and provide efficient resolution.
  • Evaluate all
functional requirements, map documents, and troubleshoot all development processes

  • Document all technical specifications associate project deliverables and design all test cases
to provide support to all systems and perform unit tests.

Must have skills:
AWS / GCP, Spark, Python, SQL, Pyspark (Databricks good to have)

Location:
PAN India

Work Mode:
Remote