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Sigmoid works with a variety of clients from start-ups to fortune 500 companies. We are looking for a detailed oriented self-starter to assist our engineering and analytics teams in various roles as a Software Development Engineer.

This position will be a part of a growing team working towards building world class large scale Big Data architectures. This individual should have a sound understanding of programming principles, experience in programming in Java, Python or similar languages and can expect to

spend a majority of their time coding.

Location - Bengaluru and Hyderabad

Responsibilities:

● Good development practices

○ Hands on coder with good experience in programming languages like Java or

Python.

○ Hands-on experience on the Big Data stack like PySpark, Hbase, Hadoop, Mapreduce and ElasticSearch.

○ Good understanding of programming principles and development practices like checkin policy, unit testing, code deployment

○ Self starter to be able to grasp new concepts and technology and translate them into large scale engineering developments

○ Excellent experience in Application development and support, integration development and data management.

● Align Sigmoid with key Client initiatives

○ Interface daily with customers across leading Fortune 500 companies to understand strategic requirements

● Stay up-to-date on the latest technology to ensure the greatest ROI for customer &Sigmoid

○ Hands on coder with good understanding on enterprise level code

○ Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems

○ Experience in defining technical requirements, data extraction, data

transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment

● Culture

○ Must be a strategic thinker with the ability to think unconventional /

out:of:box.

○ Analytical and data driven orientation.

○ Raw intellect, talent and energy are critical.

○ Entrepreneurial and Agile : understands the demands of a private, high growth company.

○ Ability to be both a leader and hands on "doer".

Qualifications: -

- Years of track record of relevant work experience and a computer Science or related technical discipline is required

- Experience with functional and object-oriented programming, Java must.

- hand-On knowledge in Map Reduce, Hadoop, PySpark, Hbase and ElasticSearch.

- Effective communication skills (both written and verbal)

- Ability to collaborate with a diverse set of engineers, data scientists and product managers

- Comfort in a fast-paced start-up environment

Preferred Qualification:

- Technical knowledge in Map Reduce, Hadoop & GCS Stack a plus.

- Experience in agile methodology

- Experience with database modeling and development, data mining and warehousing.

- Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staff

- Experience working with large, complex data sets from a variety of sources

• experience in algorithm development with a focus on signal processing, pattern recognition, machine learning, classification, data mining, and other areas of machine intelligence.
• Ability to analyse data streams from multiple sensors and develop algorithms to extract accurate and meaningful sport metrics.
• Should have a deeper understanding of IMU sensors and Biosensors like HRM, ECG
• A good understanding on Power and memory management on embedded platform

•  Expertise in the design of multitasking, event-driven, real-time firmware using C and understanding of RTOS concepts
• Knowledge of Machine learning, Analytical and methodical approaches to data analysis and verification and Python
• Prior experience on fitness algorithm development using IMU sensor
•  Interest in fitness activities and knowledge of human body anatomy

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

About Telstra

Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries, including In India where we’re building a new Innovation and Capability Centre (ICC) in Bangalore.

We’re growing, fast, and for you that means many exciting opportunities to develop your career at Telstra. Join us on this exciting journey, and together, we’ll reimagine the future.

Why Telstra?

• We're an iconic Australian company with a rich heritage that's been built over 100 years. Telstra is Australia's leading Telecommunications and Technology Company. We've been operating internationally for more than 70 years.
• International presence spanning over 20 countries.
• We are one of the 20 largest telecommunications providers globally
• At Telstra, the work is complex and stimulating, but with that comes a great sense of achievement. We are shaping the tomorrow's modes of communication with our innovation driven teams.

Telstra offers an opportunity to make a difference to lives of millions of people by providing the choice of flexibility in work and a rewarding career that you will be proud of!

About the team

Being part of Networks & IT means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy.

With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.

Focus of the role

Any new engineer who comes into data chapter would be mostly into developing reusable data processing and storage frameworks that can be used across data platform.

About you

To be successful in the role, you'll bring skills and experience in:-

Essential 

• Hands-on experience in Spark Core, Spark SQL, SQL/Hive/Impala, Git/SVN/Any other VCS and Data warehousing
• Skilled in the Hadoop Ecosystem(HDP/Cloudera/MapR/EMR etc)
• Azure data factory/Airflow/control-M/Luigi
• PL/SQL
• Exposure to NOSQL(Hbase/Cassandra/GraphDB(Neo4J)/MongoDB)
• File formats (Parquet/ORC/AVRO/Delta/Hudi etc.)
• Kafka/Kinesis/Eventhub

Highly Desirable

Experience and knowledgeable on the following:

• Spark Streaming
• Cloud exposure (Azure/AWS/GCP)
• Azure data offerings - ADF, ADLS2, Azure Databricks, Azure Synapse, Eventhubs, CosmosDB etc.
• Presto/Athena
• Azure DevOps
• Jenkins/ Bamboo/Any similar build tools
• Power BI
• Prior experience in building or working in team building reusable frameworks,
• Data modelling.
• Data Architecture and design principles. (Delta/Kappa/Lambda architecture)
• Exposure to CI/CD
• Code Quality - Static and Dynamic code scans
• Agile SDLC      

If you've got a passion to innovate, succeed as part of a great team, and looking for the next step in your career, we'd welcome you to apply!

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We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit tel.st/thrive.

Skills- Informatica with Big Data Management

1.Minimum 6 to 8 years of experience in informatica BDM development
2.Experience working on Spark/SQL
3.Develops informtica mapping/Sql 

• Drive and participate in requirements gathering workshops, estimation discussions, design meetings and status review meetings
• Participate and contribute in Solution Design and Solution Architecture for implementing Big Data Projects on-premise and on cloud
• Technical Hands on experience in design, coding, development and managing Large Hadoop implementation
• Proficient in SQL, Hive, PIG, Spark SQL, Shell Scripting, Kafka, Flume, Scoop with large Big Data and Data Warehousing projects with either Java, Python or Scala based Hadoop programming background
• Proficient with various development methodologies like waterfall, agile/scrum and iterative
• Good Interpersonal skills and excellent communication skills for US and UK based clients